JAMA+ AI Conversations – Détails, épisodes et analyse

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.

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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.

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• Hello, World—Introducing JAMA+ AI

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.

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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.

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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.

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• How Do Policymakers Regulate AI and Accommodate Innovation in Research and Medicine?

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.

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• How AI Assistants Could Help Answer Patients’ Messages—and Potentially Improve Their Outcomes

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.

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• Creation and Adoption of Large Language Models in Medicine

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.

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• Can Predictive AI Improve Early Detection of Sepsis and Other Conditions?

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.

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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.

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