JAMA+ AI

Announcing the launch of JAMA+ AI, an engaging, interactive channel that amplifies the best of the JAMA Network’s content exploring the science of artificial intelligence and digital medicine and its application in health and health care. ja.ma/3By7x4t

JAMA+ AI is a window into the research, reviews, and commentary on #AI published across the JAMA Network. Editor in Chief Roy Perlis, MD, MSc, curates the content delivered directly to your inbox. 🔗 Visit JAMA+ AI and sign up for the newsletter: ja.ma/3PyXR0Y

Trying to build your #AI knowledge? The JAMA+ AI Editors have curated resources to understand key concepts in AI in medicine, along with must-read AI articles from across the JAMA Network. 📌 Explore JAMA+ AI Resources: ja.ma/4wAUF5G

💬 Comment & Response: Developmentally targeted social media policies may better support adolescent #MentalHealth than blanket bans, as risks and benefits vary by age and engagement level. ja.ma/49Am51C

What is reinforcement learning? It's a type of #MachineLearning where #AI learns by trial and error optimizing decisions based on rewards. Visit JAMA+ AI to get access to the most advanced science and news in the clinical applications of AI: ja.ma/3OTlDoo

💬 Viewpoint: Active oversight and transparency are essential for #AI tools in pediatric care, as most models lack broad validation and global applicability, emphasizing the need for rigorous governance. ja.ma/4faUBmW

#DigitalMedia use among children, including social media and video games, was consistently associated with modestly poorer socialemotional, cognitive, and physical health outcomes in a meta-analysis of longitudinal studies. ja.ma/4nmyZGn

Trying to build your #AI knowledge? The JAMA+ AI Editors have curated resources to understand key concepts in AI in medicine, along with must-read AI articles from across the JAMA Network. 📌 Explore JAMA+ AI Resources: ja.ma/4wiwVmT

💬 Perspective: As #AI increasingly guides diagnosis, documentation, and patient management, physicians’ roles are changing, prompting questions about sustaining empathy, accountability, and trust in algorithmic care. ja.ma/4td3PTe

In this episode of JAMA+ AI Conversations, Yulin Hswen, ScD, MPH, spoke with Sandro Galea, MD, MPH, DrPH, about how #AI is entering health policy, when it is ready for use, and what rigorous, policy focused #AI research is most needed. ja.ma/4eBxWQG

In this episode of JAMA+ AI Conversations, JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, interviews OpenAI’s ChatGPT 🤖 (GPT-4o, voice mode) about the development and legacy of the first clinical chatbots, ELIZA and PARRY. 🎧 Listen now: ja.ma/4vZuoh7

#AI scribe adoption across 5 academic centers was associated with modest reductions in EHR and documentation time, plus a slight increase in weekly visit volume, especially for primary care and female clinicians. ja.ma/4dmeK8b

💬 Viewpoint: Integrating #AI to support de-escalation, rather than escalation, could improve recovery and reduce variability in pediatric ICU care, fostering greater clinical adoption. ja.ma/4dl6uVX

💬 Editor's Note by JAMA Deputy Editors Preeti Malani, MD, MSJ, and Joseph Ross, MD, MHS: As generative #AI tools become more advanced and accessible, transparent reporting and updated editorial guidance are needed to ensure research integrity. ja.ma/3Pjl4nP

Implementation of an #AI–based model for elective pediatric surgery scheduling increased procedural volume and improved hospital bed utilization without excess capacity strain. ja.ma/49sZ2FZ

Trying to build your #AI knowledge? The JAMA+ AI Editors have curated resources to understand key concepts in AI in medicine, along with must-read AI articles from across the JAMA Network. 📌 Explore JAMA+ AI Resources: ja.ma/42MP5zm

What #AI-enabled approaches can add to large-scale evidence integration? Viktor Ahlqvist, PhD, and Yulin Hswen, ScD, MPH, discuss why automated drug safety surveillance during #pregnancy is urgently needed, and more. ja.ma/4tR2KBC

💬 Viewpoint: #VoiceBiomarkers are increasingly used to detect neurological, cognitive, and respiratory diseases, but hearing health is often omitted from research design and datasets, introducing confounding and reducing model validity. ja.ma/4f5aHhM

#AI promises to profoundly change health care, from clinical practice, to training, to research. JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, highlights 5 key things to consider as these technologies develop. Learn more: ja.ma/425vU3L

Reasoning models are a type of #LargeLanguageModel designed to improve problem solving by breaking complex tasks into step-by-step reasoning. This approach can enhance accuracy and transparency in medical AI. 🔗 To learn more, visit JAMA+ AI: ja.ma/4tFYUem

JAMA+ AI is a window into the reviews and commentary on AI and medicine published across JAMA, JAMA Network Open, and the 11 JAMA specialty journals. Editor in Chief Roy Perlis, MD, MSc, curates the content delivered directly to your inbox. Learn more: jamanetwork.com/channels/ai