In this episode, JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, speaks with David Wu, MD, PhD, and Adam Rodman, MD, MPH, about what safe clinical use of LLMs requires. Drawing on the framework of Do No Harm, they examine failure modes, limits of accuracy-based evaluation, clinician AI interaction, and safeguards needed as medical AI moves into patient care. Related Content:

• From AI Bench to AI Bedside

In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis and Associate Editor Yulin Hswen debate recent articles highlighted in JAMA+ AI, including work on patient messaging and suicide screening, plus a call for more critical thinking in medicine. Related Content:

• Stumbling Toward AI in the Clinic

A large language model (LLM) details the history of 2 early chatbots, ELIZA and PARRY, in conversation with JAMA+ AI Editor in Chief Roy Perlis. This podcast was recorded using OpenAI's ChatGPT in voice mode, via web interface, running on GPT-4o. Related Content:

• What Can 50-Year-Old Chatbots Teach Us About Clinical Applications of AI?

Retinal images are becoming powerful windows into human health. Cecilia Lee, MD, MS, joins JAMA and JAMA+ AI Associate Editor Yulin Hswen to explore how AI-enhanced imaging reveals early disease signals, leverages large datasets, and shifts clinical practice in ophthalmology. Related Content:

• Insights From the Eye With AI

AI chatbots have advanced rapidly, incorporating new reasoning architectures that reshape decision-making and medical education. Jonathan Chen, MD, PhD, and Ethan Goh, MD, MS, of Stanford University join JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss the latest generation of AI models, the importance of evaluating benefits and harms, and sycophancy in AI systems. Related Content:

• Multiple Reasoning Models and the Future of AI Chatbots
• AI Chatbots in Clinical Practice
• Large Language Model Influence on Diagnostic Reasoning

JAMA+ AI Editor in Chief Roy Perlis and Associate Editor Yulin Hswen discuss some of the most cited AI papers in 2025 across the JAMA Network. A little bit of gen AI, some prediction models, and deep learning from videos as well as an increasing awareness of the challenges of real-world deployment. Related Content:

• AI and Health—The Year in Review

How can AI systems reason safely in the open world of medicine? JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, talks with Eric Horvitz, MD, PhD, Chief Scientific Officer at Microsoft, about the future of AI in 5 years to 100 years, from neurons to the nebulous, and how we can guide AI to be copilots while maintaining integrity and safety in the clinical arena. Related Content:

• AI—Days of Future Past

Will AI usher in a new era of rapid drug discovery? In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis interviews Ajamete Kaykas, Chief eXploration Officer at Insitro, a biotech company looking to apply AI to develop new therapeutics. Related Content:

• AI in the Lab—Will It Really Change Drug Discovery?

Derek Angus, MD, MPH, joins JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, to discuss a special communication from JAMA Summit: Artificial Intelligence. Related Content:

• What the Experts Think About Where AI Is Headed
• AI, Health, and Health Care Today and Tomorrow

How will 2026 shape the world of AI in health? Editor in Chief Roy Perlis and Associate Editor Yulin Hswen discuss in this special episode marking one year since the launch of JAMA+ AI. Hosted by Roy H. Perlis, MD, MSc and Yulin Hswen, ScD, MPH. Related Content:

• What Will Next Year Bring for AI in Health?
• Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks
• Evaluating a Large Language Model in Translating Patient Instructions to Spanish Using a Standardized Framework
• Public Perception of Physicians Who Use Artificial Intelligence
• Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock
• Artificial Intelligence Across the JAMA Network
• Early Warning Scores With and Without Artificial Intelligence
• Artificial Intelligence and Radiologist Burnout
• Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning
• How AI Could Reshape Health Care—Rise in Direct-to-Consumer Models
• Artificial Intelligence–Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis