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Widespread adoption of AI raises questions about accountability, transparency, and reproducibility. Marcia McNutt, PhD, president of the National Academy of Sciences, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss advancing scientific knowledge in the age of AI.
National Academies President on How to Use Generative AI Responsibly in Scientific Research
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Getting genuinely useful new technologies, from wearables to clinical decision support, into the clinic has proven to be surprisingly challenging. Tanzeem K. Choudhury, PhD, of Cornell Tech joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss how to take research into the real world in a way that is scalable and affordable.
How Health and Technology Sectors Can Collaborate on Better AI-Assisted Wearables
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What hard lessons did the US Department of Veterans Affairs (VA) learn in 3 decades of EHR development, and what can it teach us about building better AI in medicine? Stephen Fihn, MD, MPH, of the University of Washington, and formerly a leader in the VA’s EHR efforts, joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss his experience at the VA building decision support tools and other technology.
The VA Was an Early Adopter of Artificial Intelligence to Improve Care—Here’s What They Learned Hello, World—Introducing JAMA+ AI
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Can data from wearable devices and electronic health records enhance quality improvement in health care? In this Q&A, Sachin Kheterpal, MD, MBA, the University of Michigan Medical School Associate Dean for Research Information Technology, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the potential of data from mobile devices to revolutionize patient care.
Tapping AI’s Strengths—From Operating Room Safety to Wearable Device Interpretation
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Can AI augment radiological processes, imaging analysis, and diagnosis? In this Q&A, Saurabh Jha, MBBS, MRCS, MS, an associate professor of radiology at the University of Pennsylvania, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI could play a crucial role in improving access to medical imaging in remote, high-altitude, and low-income areas.
How Artificial Intelligence Will Enhance Imaging Access and Analysis Algorithms at the Gate—Radiology’s AI Adoption Dilemma
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Can AI/machine learning-driven digital phenotyping facilitate global personalized medicine? In this Q&A, Vikram Patel, MBBS, PhD, the Paul Farmer Professor and chair of the Department of Global Health and Social Medicine at Harvard Medical School, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI can enhance assessment and treatment solutions across lower-income nations.
One Day, AI Could Mean Better Mental Health for All
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Could generative AI assist in extending access to vulnerable populations and begin to bridge the gap in disparities? In this Q&A, Davey Smith, MD, MAS, an infectious disease specialist and virologist at the University of California, San Diego, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to explore the implications of large language models for improving patient outcomes.
Will Generative AI Tools Improve Access to Reliable Health Information?
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AI can understand brain signals linked to the sensory and motor processes involved in speech. In this Q&A, Edward Chang, MD, the chair and professor of neurosurgery at UCSF joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI has the potential to facilitate communication and how close AI development is to being able to translate human emotion.
Digital Avatars and Personalized Voices—How AI Is Helping to Restore Speech to Patients
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Can AI enhance the speed and efficiency of interpreting ultrasounds and echocardiograms, thereby minimizing diagnostic errors? In this Q&A, Rima Arnaout, MD, a cardiologist and associate professor of medicine at the University of California-San Francisco, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the transformative impact of AI on cardiac imaging.
How Machine Learning Might Help Improve Cardiac Imaging
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Automation bias and shortcuts in clinical AI models have posed significant challenges. In this Q&A, Jenna Wiens, PhD, an associate professor of Computer Science and Engineering at the University of Michigan in Ann Arbor, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how we can start leveraging human collaboration with AI to provide more effective health care.
Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clinical Models
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AI in clinical practice needs ethical frameworks to avert future biases. In this Q&A, Marzyeh Ghassemi, PhD, the Herman L. F. von Helmholtz Career Development Professor at MIT in Electrical Engineering and Computer Science (EECS), joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss ethical machine learning and responsible clinical implementation.
AI Developers Should Understand the Risks of Deploying Their Clinical Tools, MIT Expert Says
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How can we leverage AI to transform health care into a more efficient model for delivering care? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Atul Butte, MD, PhD, the director of the Bakar Computational Health Sciences Institute at UCSF, to discuss scalable privilege and the need for the broad distribution of AI-driven expertise.
“Scalable Privilege”—How AI Could Turn Data From the Best Medical Systems Into Better Care for All
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Amid the surging buzz around artificial intelligence (AI), can we trust the Al hype, and more importantly, are we ready for its implications? In this Q&A, Arvind Narayanan, PhD, a professor of computer science at Princeton, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the exploration of Al's fairness, transparency, and accountability.
How to Navigate the Pitfalls of AI Hype in Health Care
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Artificial intelligence holds the promise of revolutionizing disease diagnosis and prediction, but it also presents a pivotal challenge: ensuring equity. In this Q&A, Alondra Nelson, PhD, the Harold F. Linder Professor at the Institute for Advanced Study, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the equitable regulation of AI to benefit all populations.
How Do Policymakers Regulate AI and Accommodate Innovation in Research and Medicine?
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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews John Ayers, PhD, MA, vice chief of innovation in the Division of Infectious Diseases & Global Public Health, deputy director of informatics in the Altman Clinical and Translational Research Institute, and affiliate scientist in the Qualcomm Institute, all at UC San Diego, to discuss how genAI programs like ChatGPT can increase communication pathways and improve patient outcomes.
How AI Assistants Could Help Answer Patients’ Messages—and Potentially Improve Their Outcomes
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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Nigam Shah, MBBS, PhD, professor of medicine at Stanford University and chief data scientist at Stanford Health Care, to discuss how large language models are reshaping medicine and the potential pitfalls of automation.
Clinical AI Tools Must Be Fed the Right Data, Stanford Health Care's Chief Data Scientist Says Creation and Adoption of Large Language Models in Medicine
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AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in computer science at Johns Hopkins, to discuss how AI could streamline care.
Can Predictive AI Improve Early Detection of Sepsis and Other Conditions?
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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Bernard S. Chang, MD, MMSc, a neurologist and dean for medical education at Harvard Medical School, discuss how AI will change medical education, admissions, and teaching the future generation of physicians and clinicians.
AI Will—and Should—Change Medical School, Says Harvard’s Dean for Medical Education Transformation of Undergraduate Medical Education in 2023
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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, talks with Andrew Bindman, MD, an internist and the executive vice president and chief medical officer for Kaiser Permanente, about AI implementation and the importance of building trust in a health care system.
Kaiser Permanente’s CMO: How AI Might Help Clinicians Address Patients’ Social Risk Factors
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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Kedar S. Mate, MD, an internal medicine physician, President and Chief Executive Officer at the Institute for Healthcare Improvement, and faculty at Weill Cornell Medical College, to discuss AI’s role in health care quality and approaches to improving health equity.
New AI Tools Must Have Health Equity in Their DNA
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