Avsnitt
-
Send us a text
In this episode of the Digital Pathology Podcast, I explore the ethical and bias considerations in AI and machine learning through the lens of pathology. This is part six of our special seven-part series based on the landmark Modern Pathology review co-authored by the UPMC group, including Matthew Hanna, Liam Pantanowitz, and Hooman Rashidi.
From data bias and algorithmic bias to labeling, sampling, and representation issues, I break down where biases in AI can arise—and what we, as medical data stewards, must do to recognize, mitigate, and avoid them.
🔬 Key Topics Covered:
[00:00:00] Introduction and post-USCAP 2025 reflections[00:03:00] Overview of AI and ethics paper from Modern Pathology[00:06:00] What it means to be a “data steward” in pathology[00:08:00] Core ethical principles: autonomy, beneficence, justice & more[00:13:00] Types of bias in AI systems: data, sampling, algorithmic, labeling[00:22:00] Temporal and feedback loop bias examples in pathology[00:29:00] FDA involvement and global guidelines for ethical AI[00:34:00] Bias mitigation: from diverse datasets to ongoing monitoring[00:43:00] The FAIR principles for responsible data use[00:49:00] AI development & reporting frameworks: QUADAS, CONSORT, STARD🩺 Why This Episode Matters:
If we want to deploy AI ethically and reliably in pathology, we must check our bias—not just once, but at every stage of AI development. This episode gives you practical tools, frameworks, and principles for building responsible AI workflows from the ground up.🎧 Listen now and become a more conscious and capable digital pathology data steward.
👉 Get the Paper here: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
📘 Explore more on this topic: https://digitalpathologyplace.com
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
USCAP 2025 Daily Update – Day 4 with Dr. Aleksandra Zuraw
It’s the final day of USCAP 2025, and in this episode of the Digital Pathology Podcast, I’m sharing personal moments, spontaneous tech wins (and fails), and meaningful conversations with some of the most forward-thinking voices in digital pathology.
From running around with mics and misplaced tripods to interviewing Dr. Dry and Dr. Ozumura, this episode captures both the spirit of innovation and the real-world challenges of advancing digital workflows—especially in environments where regulations still lag behind.
🔬 Key Topics Covered:
[00:00:00] Morning mishaps, behind-the-scenes livestream chaos[00:02:00] Meeting international listeners and the Korean heart selfie tip 💙[00:03:00] MUSE Booth podcast recordings with Dr. Dry (UCLA)[00:05:00] Change management, leadership, and building digital culture[00:06:00] Dr. Ozumura's dual-mode pathology workflow in Japan[00:08:00] Digital pathology for remote areas and island-based diagnostics[00:10:00] What's new at vendor booths? Launching a vendor highlight roundup[00:12:00] Interoperability, collaboration, and the growing presence of digital[00:14:00] Reflections on the final day, networking, and the future of pathology🩺 Why This Episode Matters:
Digital pathology is no longer an add-on—it’s the foundation of future workflows. Day 4 at USCAP showed how global leaders, industry partners, and early adopters are all rallying behind the need for interoperability, real-time imaging, and inclusive innovation. Whether it’s Japan’s regulatory balancing act or the power of leadership at institutions like UCLA, this episode is packed with perspective.🎧 Listen now and close out USCAP 2025 with insights, laughs, and inspiration.
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Saknas det avsnitt?
-
Send us a text
USCAP 2025 Daily Update – Day 3 Recap with Dr. Aleksandra Zuraw
In this episode of the Digital Pathology Podcast, I bring you Day 3 insights live from USCAP 2025—from moderating the MUSE panel on slide-free imaging to exploring regulatory strategies, tech innovations, and collaborations across the digital pathology community.
Get an inside look at how direct-to-digital pathology is transforming workflows, how companies like Techcyte are streamlining AI applications, and why regulatory strategy is as crucial as your scanning tech.
🔬 Key Topics Covered:
[00:00:00] Behind the scenes: MUSE panel highlights and audience turnout[00:02:00] Slide-free imaging and concordance studies with Dr. Levenson and Dr. Rao[00:03:00] Regulatory insights from Esther Abels on digital pathology FDA strategy[00:05:00] Poster struggles, TikTok pathology posters, and missed moments[00:07:00] Techcyte’s new Fusion platform and use across cellular imaging departments[00:08:00] On-the-floor interviews with thought leaders and innovators[00:10:00] Where does glassless imaging fit into your workflow?[00:12:00] Collaboration opportunities and global connections at the MUSE booth[00:13:00] Final thoughts on community, education, and digital pathology’s future🩺 Why This Episode Matters:
Day 3 was packed with inspiration, breakthroughs, and powerful conversations. Whether you’re navigating regulatory approval, researching AI integration, or figuring out how slide-free imaging fits into your diagnostic flow, this update offers real-world insight from experts shaping the future of pathology.🎧 Listen now for highlights, reflections, and what’s next at USCAP 2025!
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
USCAP 2025 Daily Update – Day 2 with Dr. Aleksandra Zuraw
Welcome back to the Digital Pathology Podcast live from USCAP 2025! On Day 2, I dive into the momentum building across the conference—covering major trends, tech insights, and how digital pathology is no longer just a topic, but a critical tool used to deliver sessions and share knowledge.
From vendor-driven presentations to real-world applications of AI and slide-free technology, this episode explores how digital workflows are being integrated into education, diagnostics, and collaboration on a global scale.
🔬 Key Topics Covered:
[00:00:00] Day 2 kickoff and society meetings at USCAP[00:01:00] Exploring digital talks via touchscreen and vendor-driven sessions[00:02:00] How digital tech is embedded into conference presentations[00:03:00] Preview of the MUSE Exhibitor Seminar and QR registration[00:04:00] Meet the MUSE Panelists: Dr. Richard Levenson, Dr. Rao, and Dr. Jeff Edwards[00:06:00] Challenges of digital pathology integration in institutions[00:08:00] Conversations about low-cost digital pathology solutions[00:09:00] Asian Society of Digital Pathology and regional scanning hubs[00:10:00] Updates from PathPresenter, PathAI, and Diaagnexia[00:12:00] Poster hall builds, upcoming highlights, and short content plans[00:13:00] Call for podcast guests and global collaboration in pathology🩺 Why This Episode Matters:
Day 2 at USCAP proves that digital pathology is more than a buzzword—it's essential infrastructure for modern diagnostics, education, and global collaboration. From slide-free imaging to low-resource adaptations, we discuss how technology is not only scaling workflows but also making pathology more accessible worldwide.🎧 Listen to the full episode now and join me as we explore the digital heartbeat of USCAP 2025!
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
USCAP 2025 Daily Update – Day 1 Highlights from Dr. Aleksandra Zuraw
Welcome to the first live daily update from USCAP 2025, recorded straight from the conference floor by Dr. Aleksandra Zuraw, your host at Digital Pathology Place. In this episode, Aleks shares behind-the-scenes moments, exciting vendor previews, and key updates as the world’s largest pathology meeting kicks off.
🔬 Key Topics Covered:
[00:00:00] Welcome and What to Expect at USCAP 2025[00:01:00] Media, Exhibitor, and Partner Badges – Working with MUSE, Techcyte & Roche[00:02:00] Behind-the-Scenes Glimpse of Booth Setups and Event Logistics[00:03:00] Highlights on Digital Pathology Representation Across Exhibitors[00:04:00] MUSE Microscopy’s Role and Digital Imaging Focus at the Event[00:05:00] Upcoming MUSE Exhibitor Seminar Details[00:06:00] Call for Podcast Guests, Poster Presenters, and Collaborators[00:07:00] The App, Community Engagement, and First-Day Observations[00:08:00] Final Thoughts and Invitation to Connect at USCAP🩺 Why This Episode Matters:
This isn’t just a recap—it’s a front-row pass to what’s shaping up to be the most exciting year yet for digital pathology at USCAP. From vendor collaborations to hands-on event involvement, you’ll hear how AI, whole-slide imaging, and direct-to-digital technology are being showcased and discussed across the floor.Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode of the Digital Pathology Podcast, I sit down with Matthew Nuñez, CEO of MUSE Microscopy, to discuss the groundbreaking advancements in direct-to-digital imaging in pathology. Traditional pathology workflows rely on glass slides, formalin fixation, and time-consuming processing steps. But what if we could skip the slide entirely and go straight to digital?
🔬 Key Topics Covered:
[00:00:00] The Challenges of Traditional Pathology Workflows[00:01:00] Introducing MUSE: The First Direct-to-Digital Pathology Imager[00:02:00] How MUSE Captures Whole Tissue Images Without Slides[00:04:00] The Science Behind Microscopy with UV Light Surface Excitation[00:06:00] Eliminating Tissue Processing Delays with Real-Time Imaging[00:08:00] How Direct-to-Digital Imaging Improves Speed & Diagnostic Accuracy[00:10:00] Applications in Pathology: From Clinical Use to Organ Transplants[00:12:00] How MUSE Supports Remote and Mobile Pathology Clinics[00:15:00] Bridging the Gap Between Veterinary and Human Pathology[00:18:00] The Future of Pathology: Faster Diagnoses, Better Patient Care🩺 Why This Episode Matters:
Pathology is the gateway to diagnosis and patient care—but traditional workflows create delays, inefficiencies, and logistical challenges. With direct-to-digital imaging, we can eliminate glass slides, reduce errors, and enable real-time diagnostics. In this conversation, Matthew Nuñez explains how MUSE is transforming pathology by bringing AI-powered imaging directly to the tissue, skipping the slide, and making diagnoses faster than ever before.🚀 What’s Next?
This disruptive technology is paving the way for on-site pathology, remote consultations, and real-time patient interaction. If you're attending USCAP 2025, make sure to visit the MUSE booth and witness direct-to-digital imaging in action.📢 Can't attend in person? Join the USCAP 2025 online experience on March 24, 2025, from 5:30 to 7:00 PM EST!
REGISTER HERE
ℹ️ This Episode's Resources:
Muse Microscopy websiteThis episode on YouTubeMuse Presentation at USCAP livestream - REGISTER NOW#DigitalPathology #AIinHealthcare #PathologyInnovation #DirectToDigital
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
How Can Digital Pathology Workflows Stay Compliant and Efficient?
In this episode of the Digital Pathology Podcast, I sit down with Scott Randall, Senior Application Specialist at Hamamatsu (Hamamatsu NanoZoomer), and Amanda Coble, Senior Director of Product for Proscia (Proscia’s Website), to discuss the critical role of compliance, interoperability, and efficiency in digital pathology workflows.
🔬 Key Topics Covered:
[00:00:00] Introduction and Initial Challenges in Digital Pathology Compliance[00:01:00] Guest Introductions: Meet Scott and Amanda[00:03:00] Hamamatsu’s FDA Clearance Journey: Lessons Learned[00:06:00] Proscia’s Path to FDA Clearance and Partnering with Hamamatsu[00:10:00] How Digital Pathology Systems Maintain Compliance[00:14:00] The Advantages of Open Architecture in Digital Pathology[00:18:00] Overcoming Challenges in Slide Scanning and Logistics[00:22:00] Phases of Digital Pathology Adoption and Future-Proofing Labs[00:27:00] The Role of AI and Automation in Digital Pathology Workflows[00:32:00] Advice for Vendors Looking to Build Compliant Digital Pathology Solutions[00:38:00] Final Thoughts: The Future of Interoperability and Compliance🩺 Why This Episode Matters:
Regulatory approval in digital pathology isn’t just about scanning slides—it’s about building a seamless, interoperable workflow that ensures accuracy, efficiency, and compliance. Hamamatsu and Proscia were among the first companies to successfully achieve FDA clearance for their integrated solutions, setting the stage for future innovations in AI-powered digital pathology.Episode Resources:
Learn more about Hamamatsu’s NanoZoomer series: Hamamatsu NanoZoomerDiscover Proscia’s AI-driven pathology software: Proscia’s WebsiteRead the DPP Blog on selecting the right whole-slide scanner: Choosing the Right Whole-Slide Scanner for Your Pathology LabSupport the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
What if we could skip glass slides altogether and go straight from fresh tissue to digital image? Muse Microscopy's SmartPath device aims to do just that, capturing diagnostic-quality images directly from fresh tissue.
In this episode brought to you by Muse Microscopy, I sit down with Dr. Rao and Dr. Edwards to discuss the insights, challenges, and future of this groundbreaking technology.
We explore its regulatory ramifications, change management in veterinary and human pathology, and financial feasibility.
Tune in to learn why SmartPath could be a game-changer for both pathologists and patients.
00:00 Introduction to SmartPath Technology
00:54 Meet the Experts: Dr. Rao and Dr. Edwards
01:08 FDA Approval and Implementation Plans
01:35 Change Management in Pathology
01:56 Training Pathologists for SmartPath
03:48 Translational Tissue Banking and Clinical Applications
04:29 Impact on Breast Pathology
05:49 Pathologists' Reception and Adoption
14:33 Financial Viability and ROI
19:44 Conclusion and Future ProspectsLinks and Resources:
This episode on YouTubeMuse Microscopy WebsiteSmartPath Device Demo VideoSupport the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
Transforming Pathology: A Deep Dive into the Muse System
This episode is sponsored by Muse Microscopy.
In this episode, we explore the primary challenge of implementing digital pathology globally—digitizing the analog.A potential solution is direct-to-digital pathology, exemplified by the MUSE system by Muse Microscopy. This technology eliminates the need for glass slides and manual staining, offering rapid, non-destructive imaging of intact tissue samples.
You will learn about the advantages of Muse, including faster diagnostics, improved data fidelity, and broader accessibility, particularly in remote areas.
Detailed insights into the Muse workflow, imaging techniques, and potential applications in human and veterinary medicine are provided.
Challenges like adoption barriers and regulatory hurdles are also addressed. Join us as we explore how the Muse system is redefining diagnostic workflows and enhancing patient outcomes.
00:00 Introduction to Digital Pathology
00:18 The Hurdle of Digitizing Analog Pathology
00:26 Direct to Digital Pathology: A Game Changer
01:46 Introduction to Muse Microscopy
02:32 How Direct to Digital Pathology Works
03:10 Advantages of Direct to Digital Pathology
04:13 Understanding Muse Technology
05:26 The Digital Pathology Workflow with Muse
14:15 Challenges and Misconceptions
15:38 The Future of Pathology
16:31 Frequently Asked Questions
18:07 Conclusion and Additional Resources
18:54 Behind the Scenes and Final ThoughtsLinks and Resources:
Original blog post on Digital Pathology Place Website and LinkedInYouTube playlist with more information about MUSESmartPath Product presentation from CAP 2024Video showing the SmartPath device at the conference boothUSCAP in Boston - Muse Microscopy booth #528Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode of the Digital Pathology Podcast, I take a deeper dive into Generative AI in Pathology, following the AI in Pathology series published by USCAP. AI has already begun transforming medical diagnostics, but what does Generative AI mean for digital pathology? From synthetic data generation to multimodal AI models, this episode explores the cutting edge of AI’s role in pathology and how it’s evolving to enhance efficiency, accuracy, and patient care.
🔬 Key Topics Covered:
[00:00:00] Introduction – The Evolution of AI in Pathology[00:02:00] Acknowledging the Authors Behind the AI Review Series[00:04:00] What Is Generative AI and Why Is It a Game-Changer?[00:06:00] The Cambrian Explosion of Generative AI in Medicine[00:08:00] Understanding Transformer Architectures and Cloud Computing[00:12:00] ChatGPT, DALLE, and Multi-Modal AI: What’s Next?[00:18:00] Synthetic Data Generation: A New Era for Pathology Training[00:24:00] How AI Can Pass Medical Exams and Assist Pathologists[00:30:00] Reducing Bias and Ethical Concerns in AI-Based Diagnostics[00:38:00] Real-World Use Cases of AI-Generated Pathology Reports[00:45:00] The Future of Generative AI in Digital Pathology🩺 Why This Episode Matters:
Generative AI is no longer just a concept—it’s already being used to train models, generate high-fidelity pathology images, and assist with diagnostic decision-making. However, challenges remain, from bias in AI models to the need for domain-specific training data. Understanding these factors is essential for pathologists and medical professionals who want to leverage AI responsibly in clinical practice.🚀 What’s Next?
This episode discusses not just what Generative AI is but how it can reshape pathology workflows and where we’re headed next. If you’re interested in how AI can improve efficiency and accuracy in diagnostics, this is a conversation you don’t want to miss.🎧 Listen now to explore the future of Generative AI in pathology!
👉 Watch or listen here: https://www.youtube.com/live/hRv9GmMWSjk?si=OEg8gafqRA2M_zlx
#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode of the Digital Pathology Podcast, I explore the evolving role of Generative vs. Non-Generative AI in Medical Diagnostics. As AI continues to transform the medical field, understanding the differences between these two approaches is essential for pathologists, researchers, and healthcare professionals.
We break down the key concepts behind generative AI models (like ChatGPT and image-generation tools) and non-generative AI models (such as traditional machine learning for diagnostic support). I also highlight a groundbreaking seven-part AI review series published in Modern Pathology, which serves as a crucial reference for integrating AI into pathology.
🔬 Key Topics Covered:
[00:00:00] Introduction and Technical Adjustments[00:02:00] Why AI Education in Pathology Is More Important Than Ever[00:04:00] Overview of the Modern Pathology AI Review Series[00:06:00] Generative vs. Non-Generative AI: What’s the Difference?[00:08:00] AI in Pathology: Current Applications and Future Potential[00:12:00] Addressing Bias and Ethical Concerns in AI Models[00:16:00] How AI Can Improve Accuracy in Medical Imaging[00:20:00] The Role of Large Language Models (LLMs) in Pathology[00:25:00] Multi-Modal AI: The Future of Integrating Imaging and Text Data[00:30:00] Real-World Use Cases and AI-Driven Diagnostics🩺 Why This Episode Matters:
AI is no longer a futuristic concept—it’s here, and it’s shaping the future of digital pathology and medical diagnostics. In this episode, I break down how AI can enhance accuracy, improve workflow efficiency, and make diagnostic insights more accessible. However, AI models also come with risks, such as bias and interpretability challenges, which we need to address responsibly.🚀 Take Action:
AI in pathology isn’t just a passing trend—it’s a paradigm shift. Whether you're a pathologist, researcher, or lab professional, this episode will give you the knowledge you need to stay ahead in the era of AI-driven diagnostics.🎧 Listen now and explore the future of AI in pathology!
👉 Watch it here: https://www.youtube.com/live/Mq4Xwxoq_ok?si=o7bA90BlZff9iI_A
#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode of the Digital Pathology Podcast, I sit down with Dr. Lija Joseph, a pathologist who is redefining patient care by making pathology more accessible and understandable. Traditionally, pathology has been a “behind-the-scenes” specialty, but Dr. Joseph is changing that by directly engaging with patients, showing them their pathology slides, and empowering them with knowledge about their diagnoses.
🔬 Key Topics Covered:
[00:00:00] Introduction to Patient-Centric Pathology[00:01:00] Meet Dr. Lija Joseph: Her Background and Journey[00:05:00] The Patient Who Inspired a New Approach[00:10:00] Why Patients Need to See Their Pathology Images[00:15:00] The Power of Knowledge: How Patient Awareness Improves Care[00:20:00] Overcoming Barriers to Patient-Pathologist Communication[00:25:00] How Digital Pathology Can Make This Scalable[00:30:00] The Role of Technology in Breaking Down Access Barriers[00:35:00] Convincing Healthcare Leadership to Support This Initiative[00:40:00] How Digital Pathology Can Transform Patient Outcomes🩺 Why This Matters:
Most patients never meet their pathologists—but should they? Dr. Joseph believes so. She shares powerful stories of how patients who see their own slides gain a deeper understanding of their disease, make better treatment decisions, and experience greater peace of mind.🚀 How Digital Pathology Can Change the Future:
Dr. Joseph’s approach is innovative, but digital pathology can take it even further. Imagine a world where patients don’t have to visit a hospital to see their biopsy results but can access them remotely through secure digital platforms. This technology has the potential to bridge the gap between patients and their pathologists, improving care and trust.🎧 Tune in now to learn how pathology can become more patient-focused!
#DigitalPathology #PatientCenteredCare #PathologyInnovation #AIinHealthcare
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
Welcome to the 21st edition of DigiPath Digest!
In this episode, together with Dr. Aleksandra Zuraw you will review the latest digital pathology abstracts and gain insights into emerging trends in the field.
Discover the promising results of the PSMA PET study for prostate cancer imaging, explore the collaborative open-source platform HistioColAI for enhancing histology image annotation, and learn about AI's role in improving breast cancer detection.
Dive into topics such as the role of AI in renal histology classification, the innovative TrueCam framework for trustworthy AI in pathology, and the latest advancements in digital tools like QuPath for nephropathology.
Stay tuned to elevate your digital pathology game with cutting-edge research and practical applications.00:00 Introduction to DigiPath Digest #21
Subscribe to Digital Pathology Podcast on YouTubeFree E-book "Pathology 101"YouTube (unedited) version of this episodeTry Perplexity with my referral linkMy new page built with PerplexityHistoColAI Github Page
01:22 PSMA PET in Prostate Cancer
06:49 HistoColAI: Collaborative Digital Histology
12:34 AI in Mammogram Analysis
17:21 Blood-Brain Barrier Organoids for Drug Testing
22:02 Trustworthy AI in Lung Cancer Diagnosis
30:09 QuPath for Nephropathology
35:30 AI Predicts Endocrine Response in Breast Cancer
40:04 Comprehensive Classification of Renal Histologic Types
45:02 Conclusion and Viewer Engagement
Links and Resources:
Publications Discussed Today:
📰 Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007📰 HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration
📰 Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development
📰 Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
📰 GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning
📰 Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer
📰 Leveraging explainable AI and large-scale datasets for comprehensiv
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode of the Digital Pathology Podcast, you will learn about cytology's entrance into the digital pathology space, including successful AI and scanner implementations.
Subscribe to Digital Pathology Podcast on YouTubeFree E-book "Pathology 101"YouTube (unedited) version of this episodeTry Perplexity with my referral linkMy new page built with Perplexity
We cover AI's role in rapid on-site evaluation for lung cancer and share insights on a looming prostate cancer surge and how digital pathology and AI can help. I
You will also listen to a live demo of me using an AI assistant to decode a scientific paper in real-time. Tune in to stay on top of the digital pathology research in 2025!
00:00 Welcome to DigiPath Digest
00:53 Introduction and New Year Greetings
01:41 Diving into DigiPath Digest
01:44 AI in Respiratory Cytology
06:11 The Role of AI in Pathology
09:49 Multi-Omics and AI
11:28 Radiomics and Pathomics
14:44 Live Q&A and Future Plans
20:09 Prostate Cancer Tsunami
22:34 Thyroid Cytology and Live AI-Assistant demo
31:07 Conclusion and the option to send texts :)
Links and Resources:
Publications Discussed Today:
📝 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology
📝 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization
📝 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma
📝 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami
📝 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic ReviewSupport the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode, I’m joined by Dr. Giovanni Lujan, Nick Best, and Dr. Alae Kawam to explore a topic that hits close to home for many of us in digital pathology: why do so few pathologists attend digital pathology conferences? We delve into the barriers, opportunities, and actionable solutions that can help bridge this gap and drive the adoption of digital pathology across the profession.
What You’ll Hear in This Episode:
Startling Observations (00:02:00): Only 10% of attendees at some digital pathology conferences are pathologists. Why is this the case, and what does it mean for the future of the field?Barriers to Adoption (00:04:00): From time constraints to a lack of institutional support, we unpack the key challenges stopping pathologists from going digital.Mentorship and Collaboration (00:09:00): How mentorship programs can connect seasoned professionals with early-career pathologists to share knowledge and drive adoption.The Role of the Next Generation (00:15:00): Insights into how young pathologists can lead the way with their enthusiasm and fresh perspectives.Engaging the Skeptics (00:07:00): Strategies to introduce hesitant or resistant pathologists to the transformative power of digital tools.Global Comparisons (00:10:00): What can the U.S. learn from Europe and Asia about accelerating digital pathology adoption?Leveraging Leadership and Advocacy (00:19:00): How young pathologists can work with leadership to introduce digital pathology as a standard practice in their organizations.The Impact of Digital Pathology on Work-Life Balance (00:20:00): Exploring how remote sign-outs and shorter turnaround times can enhance both patient care and pathologists’ quality of life.Making Digital Pathology the Norm (00:24:00): Ideas for shifting digital pathology from a secondary option to the standard of care, addressing common fears and misconceptions.Future Plans and Next Steps (00:28:00): A look at actionable steps for advancing digital pathology through podcasts, mentorship, and departmental advocacy.Key Takeaways:
This conversation isn’t just about identifying challenges—it’s about solutions. We discuss how collaboration, leadership, and individual responsibility can drive meaningful change in digital pathology. Whether you’re a seasoned pathologist or just starting your career, this episode offers inspiration and actionable ideas to make digital pathology a core part of the profession.Connect With Us:
Share your thoughts on why more pathologists aren’t attending these conferences. What’s holding them back, and what changes would you like to see in your department? Let’s keep this important conversation going!Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
Leveraging AI for Deep Insights into Tertiary Lymphoid Structures in Colorectal Cancer
116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving Privacy
In this episode of the Digital Pathology Podcast, I introduce 'Aleks + AI,' a new experimental series leveraging Google's Notebook LM to delve deeper into scientific literature.
Today's focus is on tertiary lymphoid structures (TLS) and their potential to predict colorectal cancer prognosis. We discuss a study published in the October 2024 issue of Precision Clinical Medicine, exploring different methods of quantifying TLS using digital pathology and AI.
The paper title is: "Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study"
The findings highlight TLS density as a reliable predictor of survival and its correlation with immune responses and microsatellite instability. We also touch upon the potential for AI to streamline TLS analysis in clinical settings and the broader implications for personalized medicine. Join us as we dive into the intersection of digital pathology and computer science, featuring insights and commentary from my AI co-hosts, Hema and Toxy.
00:00 Welcome and Introduction
00:45 Introducing the New AI Tool: Notebook LM by Google
01:11 Experimental Series: "Aleks + AI"
02:06 Deep Dive into Tertiary Lymphoid Structures (TLS)
03:18 Understanding TLS and Their Role in Colorectal Cancer
04:20 Quantification Methods and Key Findings
05:02 Implications for Personalized Medicine
09:02 AI in TLS Analysis and Future Prospects
11:00 CMS Classification and TLS Density
12:08 Study Limitations and Future Directions
15:40 Final Thoughts and Wrap-Up
16:28 Feedback and Future Plans
THIS EPISODE'S RESOURCESPUBLICATION DISCUSSED TODAY
📝 Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study
🔗https://academic.oup.com/pcm/article/7/4/pbae030/7826772
📱 Send us a textSupport the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In today's DigiPath Digest, we delve into federated learning, a decentralized approach to AI training that preserves data privacy.
Subscribe to Digital Pathology Podcast on YouTubeFree E-book "Pathology 101"YouTube (unedited) version of this episodeTry Perplexity with my referral linkMy new page built with Perplexity
I discuss recent papers from PubMed and share my experiences experimenting with AI tools like Perplexity and Gemini for research efficiency.
You will also get updates on upcoming plans, including leveraging AI to share more podcasts with you.
Did I mention that this is the last livestream of the year as I head to Poland for Christmas? No More DigiPath Digests. We got to number 18 (I overestimated it a bit in the podcast), and you have been instrumental in continuing this series!
Big THANK YOU to all the digital Pathology #TRLBLZRS showing up every Friday morning for this!
Join me as we tackle the nuances of federated learning and its impact on healthcare and pathology.
00:00 Introduction and Greetings
00:18 Today's Topic: Federated Learning
00:57 AI Tools and Updates
04:39 Federated Learning in Detail
08:03 Challenges and Benefits of Federated Learning
11:21 Exploring More Papers and Future Plans
22:53 Wrapping Up and Final Thoughts
Links and Resources:
Publications Discussed Today:
📝 Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine
🔗https://pubmed.ncbi.nlm.nih.gov/39610333/
📝 A review on federated learning in computational pathology
🔗https://pubmed.ncbi.nlm.nih.gov/39582895/
If you enjoyed this episode, please subscribe and leave a review on your podcast listening App!Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
This episode features a conversation with Dr. Richard Doughty, Senior Medical Advisor at Aiforia Technologies, whose dual training in veterinary and medical pathology offers a unique perspective on the intersections of these fields. Together, we explore the challenges, opportunities, and innovations shaping digital pathology today.
[00:00:00] Challenges in Pathology Today
What You’ll Learn in This Episode:
Discussing the pathologist shortage, delayed diagnoses, and how AI can address these issues.[00:03:00] A Pathologist’s Dual Perspective
Dr. Doughty shares his journey of becoming both a veterinary and medical pathologist, and what this means for pathology innovation.[00:08:00] AI’s Role in Pathology
Insights into how clinician-centric AI tools like Aiforia are designed to improve diagnostic workflows and outcomes.[00:14:00] Addressing Challenges in AI Integration
Strategies for overcoming hurdles like algorithm aversion, skill retention, and fostering trust in AI systems.[00:22:00] Preparing Future Pathologists
The importance of incorporating AI training into residency programs and creating a digitally savvy workforce.[00:44:00] How to Implement AI Effectively
Practical advice on selecting tools, collaborating with providers, and setting realistic goals for AI adoption in practice.
Learn More About Aiforia: https://www.aiforia.com/Download Digital Pathology 101Contact Dr. Richard Doughty: [email protected] more videos created together with Aiforia: VIDEO PLAYLIST
Resources and Links Mentioned:
This episode is supported by Aiforia Technologies, leaders in AI-powered solutions for digital pathology.Do you know someone who should listen to this episode?
Share it with them!Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
In this episode, I sit down with Dr. Nina Kottler, Associate Chief Medical Officer of Clinical AI at Radiology Partners, to dive into the evolving role of AI in radiology and how it can shape the future of digital pathology. Dr. Kottler shares her unique journey, expertise, and practical frameworks for implementing AI that enhance patient care and streamline diagnostic workflows.
Episode Highlights and Key Moments:
[00:00:45] Introduction to Dr. Nina Kottler
Dr. Kottler discusses her background in applied mathematics, her journey into medicine, and her work at Radiology Partners, where she combines clinical practice with AI innovation.[00:04:30] Breaking Down Complex Problems in AI
Nina explains her approach to tackling large clinical challenges by breaking them down into manageable parts, a method that’s essential for developing and optimizing AI solutions.[00:08:15] The Role of Data Orchestration
We dig into “data orchestration” and how ensuring data is aligned with the right AI model is key to producing accurate and reliable clinical outcomes.[00:11:45] Life Cycle of an Exam in Radiology
Nina takes us through each step in the radiology workflow—from the initial patient consultation to reporting—and highlights how AI can streamline and enhance each phase.[00:17:00] Evolution of AI Models in Healthcare
We explore how AI has evolved, from early CAD systems to today’s multimodal and transformer models, and the exciting possibilities they bring to both radiology and pathology.[00:23:20] Addressing the Lag in AI Adoption in Healthcare
We discuss the challenge of keeping up with AI advancements while balancing patient safety, regulatory standards, and the need for reliability in clinical settings.[00:27:50] Frameworks for Reducing Variability and Improving Accuracy
Nina shares actionable frameworks that Radiology Partners uses to reduce variability and improve diagnostic precision—strategies that pathology can learn from.[00:32:40] AI in Workflow Optimization: Where It Has Real Impact
We discuss specific use cases in clinical workflows that show where AI can bring the greatest value, especially in enhancing patient care through optimized processes.[00:36:50] The Power of Multimodal AI and Vision-Language Models
Combining large language models with computer vision is moving diagnostics closer to comprehensive, AI-driven care—a promising development we explore in depth.[00:42:15] The Future of Agents in AI
We dive into the concept of “agents” in AI and how these systems may soon coordinate multiple models for more complex and precise clinical analyses.[00:48:10] Where to Learn More about Dr. Nina Kottler’s Work
Nina shares where you can catch her upcoming talks and presentations, plus resources for staying updated on the latest in AI for radiology and digital pathology.If you're a pathologist, radiologist, or healthcare professional curious about AI’s impact on diagnostics, this episode is packed with practical guidance on integrating AI into clinical workflows. Join us as we explore how AI is shaping the future of radiology and pathology!
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
-
Send us a text
Welcome back to the DigiPath Digest, fresh from PathVision!
In this episode we will dive into the latest updates from the PathVision conference, covering trends in AI-driven diagnostics, the expansion of digital pathology into primary care, and the exciting new frontier of glassless pathology.Join me as I recap the highlights of PathVision and the latest updates from the digital pathology literature, including discussions on:
AI Integration in Pathology: Learn how AI is advancing breast cancer diagnostics with tools like Ki-67 scoring models and multi-label AI for mammography, aimed at reducing unnecessary biopsies.Global Health & Digital Microscopy: Hear about innovative projects from Sweden and Finland focused on AI-supported digital microscopy in primary healthcare labs, bringing accessible diagnostics to underserved areas.Glassless Pathology with MUSE: Discover how glassless pathology is changing tissue imaging with MUSE (Microscopy with UV Surface Excitation), enabling diagnostics without the need for traditional glass slides. Dr. Zuraw breaks down what this means for future pathology workflows.Plus, a shout-out to the vendors and partners making these advancements possible, and insights from Dr. Zuraw’s conversations with digital pathology trailblazers from around the globe, including new developments from Asia in digital pathology education and technology.
Timestamps:
[0:00] PathVision Highlights & Global Attendees[5:15] AI in Diagnostic Workflows: Dr. Anil Parwani’s “Pathology Train Ride”[12:30] Moving Beyond Narrow AI: Multimodal and Foundational Models[18:45] Glassless Pathology: A New Frontier with MUSE Microscopy[25:10] Integrating Digital Microscopy in Global Health Labs[32:00] Breast Cancer Month: New Advances in AI for Diagnostics[42:00] One Health & AI for Disease Detection in Primary Care[48:30] Special Interviews: Jun Fukuoka and Asian Society of Digital PathologyLinks and Resources:
Subscribe to Digital Pathology Podcast on YouTubePathology News Signify Research Monthly RecapYouTube version of this episodePublications Discussed Today:
📝 AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review
🔗https://pubmed.ncbi.nlm.nih.gov/39486020/
📝 Ki-67 evaluation using deep-learning model-assisted digital image analysis in breast cancer
🔗https://pubmed.ncbi.nlm.nih.gov/39478421/
📝A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis
🔗https://pubmed.ncbi.nlm.nih.gov/39477432/
📝 A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths: A study protocol
🔗 https://pubmed.ncbi.nlm.nih.gov/39466830/
If you enjoyed this episode, please subscribe and leave a review toSupport the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
- Visa fler
