Avsnitt
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In medical imaging, there is a constantly growing gap between the need for diagnostic imaging and the availability of specialist staff. At the same time, groundbreaking developments in the field of artificial intelligence continue to transform the face of the imaging field as we know it. In fact, AI is currently being used as an efficient and cost-reducing solution to a variety of industry challenges.
Today, you’ll hear several panel conversations discussing generative AI in radiology, recorded live at the European Congress of Radiology. Held this year in Vienna, the ECR is one of the leading events in radiology as well as one of the world’s largest international meetings of radiology professionals, radiographers, physicists, and industry representatives.
In this episode, host Fabian Schoeck, Head of Global Product Management for Artificial Intelligence Products at Siemens Healthineers, is joined by Dr. Johannes Haubold, Senior Physician for Clinical AI Integration at University Hospital Essen and Isabelle Ayx, a Senior Radiologist at University Medical Center Mannheim, all based in Germany.
What You’ll Learn in This Episode:
The potential and the limitations of generative AI in radiologyAI can be used to help with early detection Generative AI can transform clinical workflowsHow can AI can pave the way for more accurate and efficient diagnosticsArtificial intelligence can process massive amounts of data, allowing for huge advantages to researchWhat’s coming next in AI development for the radiology fieldConnect with Fabian Schoeck
LinkedInConnect with Johannes Haubold
LinkedInConnect with Isabelle Ayx
LinkedInHosted on Acast. See acast.com/privacy for more information.
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Lung cancer has the highest mortality rate of all cancers. Globally, it is the deadliest cancer among men and women. One of the biggest contributing factors to lung cancer’s devastation is that it often goes undetected in its early stages. Because the lungs don’t have pain receptors and the chest cavity allows a relatively spacious growing environment for tumors, symptoms typically don’t manifest until the disease has progressed significantly. It’s for these reasons that screening higher-risk patients for lung cancer is so important, as early detection provides the best chance of survival from the disease.
In this episode, Dr. Victoria Schneider, clinical oncology consultant at Siemens Healthineers, is joined by Dr. Richard Booton, clinical director for lung cancer and thoracic surgery at Wythenshawe Hospital and professor of respiratory medicine at the University of Manchester in the UK; Rimma Kondrashova, a radiology resident at Hannover Medical School in Germany; and doctors David Yankelevitz and Claudia Henschke, both radiologists and professors of radiology at Mount Sinai’s Icahn School of Medicine in New York City.
You’ll hear from these experts about the importance of early detection, the programs that have been recently rolled out to increase survival rates, and some of the exciting new advancements in the field.
What You’ll Learn in This Episode:
• Early detection is a key factor in the successful treatment of lung cancer
• Government funded screening programs in the US and the UK have made significant headway in early-stage lung cancer diagnoses
• In Germany, the HANSE Study was created to assess what a successful national lung cancer screening program might look like for the country
• Mobile screening clinics have been implemented in order to move lung cancer screenings out of hospitals and into more readily accessible community spaces
AI has had a major impact on several areas of lung cancer screenings, including improving the image resolution of scans and helping radiologists by minimizing the often-tedious work of reading imagesConnect with Victoria Schneider
LinkedInConnect with Richard Booton
LinkedInConnect with David Yankelevitz
LinkedInConnect with Claudia Henschke
LinkedInHosted on Acast. See acast.com/privacy for more information.
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The carbon footprint of healthcare has been estimated to be 4 to 5% of the worldwide total. To put this number into perspective, if “healthcare” was a country, it would be the fifth largest emitter in the world, coming in just behind China, the United States, India, and Russia. Today we face pressing global issues like climate change and an energy crisis, that impact our health and wellbeing. It becomes crucial then, that the healthcare industry not only takes responsibility for health, but also actively works towards reducing the impact of the environment on people’s health – especially by reducing emissions and consumption of resources.
In this episode, Shikha Pillai, Global Head of Sustainability at Siemens Healthineers, is joined by Dr. Elmar Merkle, Head of the Department of Radiology and Chief Physician for Radiology and Nuclear Medicine at the University Hospital Basel in Switzerland; as well as Dr. Christopher Hess, Chair of the Department of Radiology and Biomedical Imaging at the University of California San Francisco; and Dr. Clemens Juettner, Chief Sustainability Officer at Sana Kliniken in Munich. These experts in radiology and sustainability are talking about what the sector is doing to implement consumption-reducing measures that can lead to not only operational efficiency, but also contribute significantly to our sustainable future.
What You’ll Learn in This Episode:
• For hospitals around the globe, the perpetual “idling” state of imagining machines contributes to the huge carbon footprint of radiology departments.
• On a global average, one hospital bed consumes the same amount of energy as four family homes annually.
• Major strides have been made toward more energy efficient imaging machines, but the most pressing issue is encouraging their use by the medical community.
• The production and delivery of imaging equipment can have massive environmental repercussions.
• It’s not just carbon footprint that can be reduced by greener radiology practices: cost is also a crucial factor.
Connect with Shikha Pillai
· LinkedIn
Connect with Clemens Juettner
· LinkedIn
Connect with Christopher Hess
· LinkedIn
Connect with Elmar Merkle
· LinkedIn
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Urine is more than a natural waste product—it can provide a wealth of information about an individual’s overall health, and urinalysis is one of the oldest diagnostic tests in existence. Its use has been dated as far back as Mesopotamia and ancient Greek physician Hippocrates wrote extensively about the use of urinalysis in diagnosing disease in the 6th century BCE.
Today, urinalysis can be used to detect a number of diseases and ailments including urinary tract infections, kidney disease, diabetes, and bladder cancer.
In this episode, Will Hutt, Head of Primary Care, Acute Rapid & Decentralized Urinalysis at Siemens Healthineers, is joined by Nancy Brunzel, a medical laboratory scientist and author of the book Fundamentals of Urine and Body Fluid Analysis and Jon Stradinger, director of assay development for point of care at Siemens Healthineers. We’ll also hear from two experts interviewed for Siemens Healthineers’ recent five-part docuseries about the history of urinalysis: Medical Author and Educator Connie Mardis and Kelly St. Vrain, the head of marketing operations for diagnostics at Siemens Healthineers. They’re discussing the current state of urinalysis, where it could go in the future, and what it all means for the overall patient experience.
Watch Siemens Healthineers’ five-part docuseries Urine, A Liquid Lens into Your Health
What You’ll Learn in This Episode:
• Urinalysis is cost-effective and non-invasive—two reasons it is such a popular diagnostic tool.
• Urinalysis can play an integral role in the early detection of serious diseases.
• Advances in urinalysis such as automated test strip readers have brought new innovations in the consistency and quality control of the test.
• There is a lot of potential for the role that artificial intelligence may come to play in interpreting the data of urinalysis results.
• Urinalysis has existed for millennia, but it will remain an invaluable tool in healthcare.
Connect with Will Hutt
· LinkedIn
Connect with Nancy Brunzel
· LinkedIn
Connect with Jon Stradinger
· LinkedIn
Connect with Kelly St. Vrain
· LinkedIn
Connect with Connie Mardis
· LinkedIn
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A vast number of cancer patients will undergo radiotherapy during their treatment process. Because of this, experts are searching for ways to treat patients as effectively as they can through radiotherapy while also reducing the treatment’s side effects as much as possible. One answer to this is adaptive radiotherapy. Recent advancements in AI and imaging technology have refined the process and made new solutions possible.
These advancements have made it easier for healthcare professionals to adapt treatment to real-time images of the patient's anatomy. This helps to preserve the health of organs surrounding the targeted area and treat patients more effectively.
Today, Sasa Mutic, Senior Vice President at Varian Medical Systems, a Siemens Healthineers company, is joined by Dr. Eric Horwitz, Chair of the Department of Radiation Oncology at Temple University and Fox Chase Cancer Center in Philadelphia; Jennifer Pursley, Medical Physicist and assistant professor at Harvard Medical School; and Kirsten Offereins-van Harten, a senior radiotherapeutic technician at Erasmus University Medical Center in Rotterdam, Netherlands. They discuss how advancements in adaptive radiology technology have transformed the patient experience and the field as a whole—and where it may take us in the future.
What You’ll Learn in This Episode:
Adaptive radiotherapy allows real time scans of a patient in order to better, more precisely treat tumors.Improvement of imaging technology advances the ability to contour organs, which is a major aid in avoiding collateral damage around the target.Adaptive radiotherapy has the potential to reduce the ill effects of typical radiological treatments by focusing on a more precise target, therefore allowing patients to maintain their quality of life.Adaptive radiotherapy greatly changes the way that providers work together to create a treatment path. Artificial intelligence can potentially expedite the process of adaptive radiotherapy by allowing for a more accurate picture of the contours around affected organs.Connect with Sasa Mutic
LinkedInConnect with Dr. Eric Horwitz
LinkedInConnect with Jennifer Pursley, PhD
LinkedInConnect with Kirsten Offereins-van Harten
LinkedInHosted on Acast. See acast.com/privacy for more information.
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The World Health Organization states that access to care is a human right. This means all world citizens should have access to quality health care and services, whenever and wherever they need it. To reach this goal, skilled employees are required at all levels of the healthcare system.
For many low- and middle-income countries, this access is extremely difficult and training and development programs for workers within the field of radiology are often unavailable, only perpetuating the staffing shortage issue.
Of particular concern is staff shortages in radiology and radiotherapy. In this episode, you’ll hear about potential solutions to this problem, including collaboration to facilitate, expand, and improve training coupled with innovations in health technologies.
Today, Ven Virah, Global Contingent Staffing Expert, Workforce Solutions at Siemens Healthineers, is joined by Jeannette Parkes, a clinical director at Access to Care Cape Town and Head of the division of Clinical and Radiation Oncology at Groote Schuur Hospital and the University of Cape Town, as well as Barry Asin, President at Staffing Industry Analysts in Mountain View, California, and Dr. Katja Beitat, Head of Health Tech at Cicada Innovations and Director of Technology and Innovation at Radiology Across Borders in Sydney.
What You’ll Learn in This Episode:
That the COVID-19 pandemic, an aging society, resignations, and retirements all contribute to the healthcare staffing crisis (02:45)Collaboration is one of the keys to spreading knowledge and increasing the availability of care in underserved areas (06:02)In areas with few opportunities for healthcare, remote consultations have become invaluable (08:15)How programs allowing healthcare workers to upskill or learn entirely new practices have been aided by VR and AI (11:04)Sustainable education programs for medical professionals in low- and middle-income countries have become an important tool for improving care in those areas (13:39)Connect with Ven Virah
LinkedInConnect with Jeanette Parkes
LinkedInConnect with Barry Asin
LinkedInConnect with Dr. Katja Beitat
LinkedInHosted on Acast. See acast.com/privacy for more information.
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By 2030, the World Health Organization predicts a global shortage of 15 million healthcare workers. As the number of individuals requiring medical care increases, staff shortages are becoming more of a problem. In diagnostic areas with complex indications, the lack of trained and knowledgeable staff can lead not only to errors but also to insufficient time for patient care. Radiology technologists must also be able to perform complex cases, and this requires separate training.
To solve the global staffing shortage, there are two crucial keys: staff recruitment and staff retention — both of which medical schools, hospitals, and industry can play an important role in.
Today, Ven Virah, Global Contingent Staffing Expert, Workforce Solutions at Siemens Healthineers, is joined by Dr. Elliot K. Fishman, Director of the Divisions of Diagnostic Imaging at the Johns Hopkins Hospital and Professor of Radiology at Johns Hopkins University in Baltimore, Maryland; Brad Genereaux, Global Lead of Medical Imaging at NVIDIA; and Elio Arruzza, a lecturer and research academic in medical radiation science at the University of South Australia who also works as a radiographer and medical imaging technologist for Jones Radiology in South Australia.
What You’ll Learn in This Episode:
•That today’s medical students demand a more interactive education (00:13)
•How advances in virtual reality and augmented reality are creating better trained, more confident healthcare providers (02:41)
•With a hands-on approach to education, how students can adapt more easily to in-person training at hospitals and clinics (05:19)
•By using AR and VR simulation training, how healthcare professionals working with medical students can free crucial time while their students train (06:44)
•That artificial intelligence has the potential to act as a research partner, a sounding board, and a failsafe for medical professionals (12:24)
Connect with Ven Virah
LinkedInConnect with Dr. Elliot Fishman
LinkedInConnect with Elio Arruzza
LinkedInConnect with Brad Genereaux
LinkedInHosted on Acast. See acast.com/privacy for more information.
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Top-class, professional soccer demands the highest performance from athletes’ bodies—both in training and in competition. As the years have progressed and skill and competition have augmented, physical demand from athletes has increased exponentially. In addition to an elite running game, professional footballers are also trained to achieve cannon-like kicks of up to 120 kilometers per hour and withstand headers stronger than the punch of a professional boxer.
In this episode, Dr. Yvonne Braun, Director of Global Clinical Marketing Surgery at Siemens Healthineers, is joined by Dr. Jochen Hahne, an orthopedic specialist and team physician, Prof. Dr. Martin Mack, a specialist in diagnostic and interventional radiology and Prof. Dr. Peter Ueblacker, a team physician and specialist in orthopedics and chirotherapy, all of whom work with FC Bayern, the most successful soccer club in German history.
You’ll hear from the doctors who work with FC Bayern about how advances in orthopedics and medical imaging technology allow them to keep players in the game given all of the continuous stresses they’re under.
What You’ll Learn in This Episode:
•How team doctors with FC Bayern manage injured players
•The way the club’s medical team and its team doctors collaborate to keep players healthy
•Why prevention is the most powerful key to a healthy team
•The importance of time and patience in healing sports-related injuries
•How radiology plays such a major role in FC Bayern’s medical protocol
•The problems that can arise when under-trained, under-experienced radiologists are at the helm
Connect with Prof. Dr. Martin Mack:
•LinkedIn
Connect with Dr. Yvonne Braun:
•LinkedIn
Connect with Dr. Jochen Hahne & Prof. Dr. Peter Ueblacker:
•FC Bayern Website
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One of the Covid pandemic's impact is an increase in resignations in healthcare. Combined with rising patient needs, hospitals are now understaffed and looking for new solutions. This is where remote technologies may help. In fact, some hospitals are already seeing success in implementing remote technologies to help in treatment and diagnostics without increasing staff in specific locations. Today Ven Virah, Global Contingent Staffing Expert, Workforce Solutions at Siemens Healthineers, is joined by Anton Quinsten, Chief Radiology Technologist, University Hospital Essen, Germany, Melissa Petrasko, Vice President of Imaging Services, Central Florida Division at AdventHealth, and Ben Archibald-Heeren, Medical Physicist at Icon Cancer Centre, Australia.
They discuss how remote scanning impacts imaging in the medical industry. You’ll also learn how telehealth transforms patient care and the medical staff’s morale. Additionally, you’ll hear about AI's role in the medical industry and the impact it's expected to have in the near future.
What You’ll Learn in This Episode:
Why it’s hard to replace radiation therapists and oncologistsThe impact of remote scanningHow the Covid pandemic impacted the hospital staffThe barriers stopping medical staff from advancing their careersHow enabling radiologists to work remotely impacts patient careHow artificial intelligence impacts radiologists' workloadConnect with Anton Quinsten:
LinkedInConnect with Melissa Petrasko:
LinkedInConnect with Ben Archibald-Heeren:
TwitterConnect with Ven Virah:
LinkedInHosted on Acast. See acast.com/privacy for more information.
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The COVID-19 pandemic exposed many weaknesses in the healthcare systems in both developed and developing countries. At the same time, the pandemic led many healthcare leaders to think out of the box and embrace new technologies in diagnostics, treatment, human resources, funding, and general patient care. Beyond the pandemic, we are seeing a greater commitment to create a more sustainable and resilient healthcare system globally.
Today, Tisha Boatman, Head of Global Access to Care at Siemens Healthineers, is joined by Kelly McCain, Head of Health and Healthcare Initiatives at the World Economic Forum in Geneva, Switzerland, and Isabel Mestres, the CEO of City Cancer Challenge Foundation, an organization that supports cities around the world as they work to improve access to equitable cancer care.
Stay tuned to learn more about the challenge of non-communicable diseases like cancer and heart disease in middle-income and developing countries. You’ll hear about the possible impact that AI is expected to have on the healthcare industry, and how City Cancer Challenge Foundation leverages collaboration to push for meaningful change.
What You’ll Learn in This Episode:
● How the burden of non-communicable disease impacts developing countries (02:21)
● The benefits of standardizing care for non-communicable diseases (04:03)
● The possible impact of AI on the healthcare system (12:05)
● How collaboration can help push for meaningful change in the healthcare system (14:17)
● The impact of COVID-19 on the current healthcare model (25:47)
Connect with Isabel Mestres:
● LinkedIn
● City Cancer Challenge (C/Can)
Connect with Kelly McCain:
● LinkedIn
Connect with Tisha Boatman:
● LinkedIn
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A diagnosis of cancer is one of the most devastating a person can receive—and worldwide, the number of new cancer diagnoses per year is on the rise, putting even more stress on patients, their families, care teams and health systems.
Today, Gabriel Haras, MD, president of Cancer Therapy Imaging at Varian, a Siemens Healthineers company, is exploring whether digital twin technology could help create a world without fear of cancer. He’s joined by Chloé Audigier, senior AI research scientist at Siemens Healthineers, and Christian Weißenberger, MD, head of outpatient care at the Center for Radiotherapy and Radio-oncology in Freiburg in Breisgau, Germany.
Find out how digital twins could transform the entire cancer care path – from early detection to treatment and follow-up care. You’ll also learn how a digital twin of an organ is created. And you’ll hear what digital twin technology could mean for patients, clinicians, and the future of oncology.
What You’ll Learn in This Episode:
How the digital twin of an organ is created (03:40)Why early detection of cancer is so important (06:03)How digital twins could improve diagnosis (08:50)How digital twins could help find the right therapy (12:09)The role of digital twins in follow-up care (18:41)Connect with Christian Weißenberger:
LinkedInConnect with Chloé Audigier:
LinkedInHosted on Acast. See acast.com/privacy for more information.
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Breast cancer is the most common cancer found in women worldwide, and one of the most effective ways to combat it is early detection through screening. However, this faces several challenges, such as limited access to screening, socio-economic issues and the difficulties in getting conclusive results from some tests. Taking screening closer to the people and employing artificial intelligence in diagnostics are two viable solutions that doctors are using to promote early detection.
Today, Siemens Healthineers Head of Marketing Women’s Health Aline Hambüchen talks with Dr. Brian Englander, Chairman of the Pennsylvania Hospital Department of Radiology, Federica Pediconi, professor of radiology at the University of Rome La Sapienza, Marco Caballo, Ph.D., a biomedical engineer and AI researcher at Radboud University Medical Center in Gelderland, NL and Abby Weldon, Senior Director of Women’s Health at Siemens Healthineers.
Listen to learn about what breast cancer screening entails and the barriers stopping women from being screened. You’ll also find out about mobile mammography trucks and the problems they are solving. Additionally, you’ll hear about the role that artificial intelligence (AI) can play in improving the diagnostic process.
What You’ll Learn in This Episode:
How breast cancer gets diagnosed (02:57)Barriers to preventative breast cancer screening (05:16)How a mobile mammogram truck works ( 09:33)The impact that telemedicine is having on healthcare services (12:33)The consequences of canceled and delayed breast cancer screening (13:57)The role that AI can play in the fight against breast cancer (15:35)Connect with Marco Caballo, Ph.D.:
LinkedInConnect with Dr. Brian Englander:
LinkedInConnect with Aline Hambüchen:
LinkedInConnect with Abby Weldon:
LinkedInLearn more about breast cancer prevention and self-examination here:
https://www.siemens-healthineers.com/company/breastcancer-careHosted on Acast. See acast.com/privacy for more information.
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The pursuit of precision medicine using technology has given rise to the idea of creating patients' digital twins. The successful development of digital twins of individual organs has set the stage for its development. However, the quantity and quality of data required to create a functional patient twin is an obstacle that is yet to be conquered, as are legislative and regulatory challenges.
Today, Peter Schardt, Siemens Healthineers’ Chief Technology Officer is joined by four guests - Dr. Ulrike Attenberger, Professor and Chair of the Department of Radiology at the University Hospital in Bonn, Germany. Tobias Heimann, Head of Artificial Intelligence at Siemens Healthineers Germany. Siobhan Graham, Head of Radiotherapy at Barking, Havering, and Redbridge University Hospitals in Essex, UK, and Nikki Akar, Lead Chemotherapy Nurse at the same hospital.
Stay tuned to find out what a patient twin is, how it can be created and the benefits it could offer patients and medical practitioners. You’ll learn more about the cloud-based software as a service, Noona, which can be seen as a first step towards a disease-focused version of the digital twin, and how it is used by cancer patients as their 24/7 companion on their journey.
What You’ll Learn in This Episode:
How a digital twin of the liver is used in medical research (03:49)How digital twinning can help advance precision medicine (04:45)The requirements for building a patient’s twin (07:52)How Noona is used at Barking, Havering, and Redbridge University Hospitals in Essex, UK (10:44)The impact that Noona is having on the provider-patient relationship (13:56)What would need to be done to collect enough data to create patient twins (19:39)Connect with Dr. Ulrike Attenberger:
LinkedInConnect with Tobias Heimann:
LinkedInConnect with Siobhan Graham:
LinkedInNoona AppConnect with Nikki Akar:
TwitterConnect with Peter Schardt:
LinkedInHosted on Acast. See acast.com/privacy for more information.
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Understanding neurodegenerative diseases require a lot of data to be collected and analyzed by the researchers involved. If they have accurate data that they can get deeper into, they increase the likelihood of identifying patterns that can lead to meaningful conclusions. That is why many researchers are now using AI in analyzing the vast amount of available data. This helps in getting accurate insights faster and sets the stage for future research dimensions.
Today, Lance Ladic, Siemens Healthineers’ Director of Strategic Innovation is joined by three guests - Claire Mackay, Professor of Imaging Neuroscience, University of Oxford, Dr. Andy Saykin, Professor of Radiology and Imaging Sciences at Indiana University School of Medicine in Indianapolis, and Duygu Tosun-Turgut, Associate Professor at the University of California San Francisco in the Department of Radiology and Biomedical Imaging. They’ll help understand the role AI is playing in the fight against neurodegenerative diseases.
Stay tuned to learn about why it is difficult to predict how a neurodegenerative disease will progress in one patient based on data collected from other patients. You’ll also learn about the importance of data sharing among the groups doing research. Lastly, you’ll hear about the role that AI is playing in creating models that can be used in the detection, treatment, and monitoring of patients.
What You’ll Learn in This Episode:
The relationship between comorbidity and heterogeneity while studying neurodegenerative diseases in patients (01:55)How an AI-enabled tool is being used in detecting multiple sclerosis (04:10)The future of AI in the treatment of neurodegenerative diseases (06:54)The importance of data sharing in the fight against neurodegenerative diseases (12:13)How researchers are deploying AI in data collection (15:33)Connect with Andrew Saykin:
LinkedInConnect with Clare Mackay:
LinkedInConnect with Duygu Tosun:
LinkedInConnect with Lance Ladic:
LinkedInFurther reading (as mentioned in this episode):
“To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)”Hosted on Acast. See acast.com/privacy for more information.
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Dementia caused by Alzheimer's is one of the most common symptoms for patients suffering from neurodegenerative diseases. That is why a lot of research has been directed towards understanding the actual impact of the disease on the brain. While there are several studies being conducted, the use of Biomarkers is among those that are in advanced stages. Biomarkers help in understanding as well as monitoring the disease progression in a patient over time.
Today, Lance Ladic, Siemens Healthineers’ Director of Strategic Innovation is joined by three guests - Tammie Benzinger, Professor of Radiology at the Mallinckrodt Institute in St. Louis at Washington University, Dr. Anne Börjesson-Hanson, Director of Clinical Trials at the Department for Aging at Kalinsky University Hospital, and Duygu Tosun-Turgut, Associate Professor at the University of California San Francisco in the Department of Radiology and Biomedical Imaging. They’ll help us understand the progress that has been made so far in the study of Alzheimer’s disease.
Stay tuned to learn about the options that are currently available in the detection of Alzheimer's disease. You’ll also learn about the use of Biomarkers in monitoring the disease’s progression and how that information can be used in managing it. Lastly, you’ll hear about the ongoing Alzheimer's research and the questions they are seeking answers for.
What You’ll Learn in This Episode:
The process of detecting the Alzheimer's disease (01:43)Why it is important to detect the disease early (04:17)The role that biomarkers can play in managing the disease (12:35)How smartphone and wearable devices are helping in studying the disease (16:32)What the future of monitoring this disease will look like (19:20)Connect with Duygu Tosun:
LinkedInConnect with Dr. Anne Börjesson-Hanson:
LinkedInConnect with Tammie Benzinger:
LinkedInConnect with Lance Ladic:
LinkedInHosted on Acast. See acast.com/privacy for more information.
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The number of people affected by neurodegenerative diseases is expected to rise significantly in the coming years. This is due to a combination of factors such as an increase in the aging population, and lifestyle choices, among others. The task of detecting, treating, and studying brain health issues has brought together the fields of science and technology. They are working to see how tech devices such as wearables, mobile phones, and apps can be used in the fight against these diseases.
Today, Lance Ladic, Siemens Healthineers’ Director of Strategic Innovation is joined by three guests - Claire Mackay, Professor of Imaging Neuroscience, University of Oxford; Dr. Nicolò Zarotti, Trainee Clinical Psychologist at Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) and former Research Associate at Lancaster University; and Dr. Andy Saykin, Professor of Radiology and Imaging Sciences at Indiana University School of Medicine in Indianapolis. They’ll help understand how technology is being used to slow the rise of neurodegenerative diseases.
Stay tuned to learn about the current methods of detecting neurodegenerative diseases and what they involve. You’ll also hear about the important role that wearable devices are playing in the field of brain health. Additionally, you’ll learn about what the medical profession is doing to prepare for an increase in the number of patients.
Note: Nicolò Zarotti's responses and interventions in this episode are based on his work as a researcher and are not intended as clinical advice.
What You’ll Learn in This Episode:
Factors that influence people’s ability to preserve brain health (02:33)The different types of technology that are available for detecting brain health issues (04:08)How wearable technologies can help in detecting cognitive decline (06:22)How social and global changes impact neurodegenerative diseases detection and treatment (08:19)Non-lifestyle factors increasing the risk of neurodegenerative diseases (15:49)How the medical profession can be prepared to handle increased brain health cases (17:54)Connect with Andrew Saykin:
LinkedInConnect with Clare Mackay:
LinkedInConnect with Nicolò Zarotti:
LinkedInConnect with Lance Ladic:
LinkedInHosted on Acast. See acast.com/privacy for more information.
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Magnetic Resonance Imaging (MRI) has played a big role in shaping the healthcare industry’s approach to detection, monitoring, and tracking of medical conditions. Since its invention in the 1970s, a lot of improvements have been made to increase its performance and accessibility. As the industry continues to digitalize, we can expect more changes that will make MRIs more powerful and efficient.
The fifty-year history of MRI takes us from early plans scribbled on a napkin at a Pittsburgh Eat n’ Park in 1971, through developments to increase patient comfort and image quality in the 1980s, and into a future where AI can predict, survey, and manage a patient’s likelihood for dementia. In this special episode, Arthur Kaindl talks to experts in the field, Bruce Rosen, M.D., Franz Schmitt, Jürgen Hennig, and Vivek Muthurangu, M.D., about the recent and eventful history of MRI.
In today’s conversation, you’ll hear about the development of the first MRI machine and the challenges faced by the inventors. You’ll learn about the improvements that have been made and the impact that they’ve had on the healthcare industry, as well as what the future holds for MRI machines and what it’ll take to get there.
Some Questions Asked:
Did you think that MRI was going to be a big innovation? (02:52)How did it feel seeing the results of a scan during the development stages? (06:56)What exactly can current MRI scanners help us see now that we couldn't see with earlier scanners? (13:11)When did you really start to see that certain problems in MRI needed fixing? (18:42)What role would you give to artificial intelligence in the future of MRI? (22:07)What have you found MRI clinicians need to do, especially when working with pediatric patients? (27:09)What You’ll Learn in This Episode:
How the first MRI scanner worked (04:28)The purpose of different MRI sounds (09:31)The role of MRI in the detection and tracking of neurodegenerative diseases (14:22)The impact of imaging technology on how we think about law and criminal behavior (17:13)How to make MRI scanners more accessible (24:30)The future of MRI scanners (28:46)Connect with Dr. Bruce Rosen:
LinkedInConnect with Franz Schmitt:
LinkedInConnect with Jürgen Hennig:
University Medical Center FreiburgConnect with Vivek Muthurangu:
Centre for Translational Cardiovascular ImagingConnect with Arthur Kaindl:
LinkedInHosted on Acast. See acast.com/privacy for more information.
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The invention of computed tomography (CT) was a very important milestone that improved diagnostic capabilities in the field of medicine. Though it was already seen as a game-changer and many improvements were made over the years, it was still limited by image quality and radiation dose, among other things, and not all patients could be diagnosed. This necessitated the development of the photon-counting CT that provides additional clinical information at a low radiation dose and for an increasing number of patients.
In this episode, André Hartung, President of Diagnostic Imaging at Siemens Healthineers, is joined by 4 guests: Anders Persson, Professor of Medical Image Science, Senior Radiologist, and Head of the Centre for Medical Image Science and Visualisation at Linköping University in Sweden; Fabian Bamberg, the Chair of the Department of Radiology at the University of Freiburg in Germany; Thomas Flohr, Head of CT Physics at Siemens Healthineers; and Christian Schröter from the Siemens Healthineers’ Crystal Centre.
Listen to this episode to learn about the limitations of traditional CT scanners and how modern scanners have overcome them. You’ll also hear about photon-counting and the impact it has on image quality. Additionally, you’ll find out the role that artificial intelligence can play in sorting and analyzing the large amount of data that modern CT scanners produce.
Some Questions Asked:
● What were the limitations of CT scanning? (01:10)
● How do you see photon-counting impacting the radiation dose levels being applied? (09:13)
● Why did the development of photon-counting scanners take so long? (13:17)
● What is your view on photon-counting CT in the context of biomarker research? (22:05)
What You’ll Learn in This Episode:
● How current CT scanners work (04:11)
● How modern CT scanners solved the problem of blooming artifacts (07:43)
● The benefits offered by modern CT scanners (09:58)
● The importance of sharing ideas with external partners and institutions (24:41)
Connect with Fabian Bamberg:
● LinkedIn
Connect with Thomas Flohr:
● LinkedIn
Connect with André Hartung:
● LinkedIn
Connect with Anders Persson:
● LinkedIn
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