JAMA+ AI @JAMAplusAI
JAMA+ AI is a window into the scientific content, educational reviews, and commentary on AI & medicine published across the @JAMANetwork family of journals. JAMAai.org Chicago, IL Joined September 2024-
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JAMA+ AI Editor in Chief @royperlis presents @JAMANetwork analysis of #AI use in authorship and peer review at @peerrevcongress. #PRC10 Learn more in this Editorial: ja.ma/3I1kfwl
RCT: Among high-risk psychiatric inpatients, a smartphone-based intervention for suicide-focused cognitive behavior therapy reduced suicidal ideation and recurrent attempts in patients with prior attempts. ja.ma/4lKiu4q
Michelle Mello, professor of law and health policy at Stanford University, offers a framework for guiding health care organizations in their disclosure decisions based on patient agency and physical risk levels. Learn more in this podcast: ja.ma/45Qhvde
Michelle Mello, professor of law and health policy at Stanford University, offers a framework for guiding health care organizations in their disclosure decisions based on patient agency and physical risk levels. Learn more: ja.ma/4lD0Hfl
AI can facilitate learning, but cultivating human expertise still demands a human-centered interface—one that preserves friction, nuance, and the motivation to improve. ja.ma/45My6OZ
RCT: #AI-augmented personalized expert instruction enhances surgical performance, skill transfer, and cognitive-emotional responses compared to AI tutor instruction alone. ja.ma/47KpE5f
The CHART checklist was created to standardize the reporting of generative #AI chatbots when summarizing clinical evidence and providing health advice, enhancing transparency and evaluation. ja.ma/4oShYUW
Microsoft CMO David Rhew discusses his journey from clinical practice to technology leadership, rapid progress in AI, its potential impacts on health care, and the challenges and opportunities that lie ahead for clinicians and researchers. ja.ma/4oHKpoc
Editor's Note: As #AI tools like large language models move rapidly toward real-world application in health care, key questions remain about how best to evaluate them. ja.ma/3Jhirj4
Viewpoint: As #AI technologies develop to support medical diagnostics, the role of clinicians becomes even more vital for applying expert judgment and maintaining personal patient interactions. ja.ma/4oFKjgZ
Systematic review: Most #AI applications in ICUs were in early development stages, while reporting standards were low and over half presented a high risk of bias. ja.ma/47vCK6g
The use of #AI tools in health care raises questions about patient informed consent, necessitating a framework to decide when disclosure is needed. ja.ma/40YKfyK
Viewpoint: The FDA's guidance on #AI in drug development provides a framework to assess AI model credibility and emphasizes ethical considerations. ja.ma/3J5Q9bc
Microsoft CMO David Rhew discusses his journey from clinical practice to technology leadership, rapid progress in AI, its potential impacts on health care, and the challenges and opportunities that lie ahead for clinicians and researchers. ja.ma/4ll3xps
Editor's Note: As #AI tools like large language models move rapidly toward real-world application in health care, key questions remain about how best to evaluate them. ja.ma/3J8xqf6
Editor's Note: The MatchMiner #AI tool developed by Dana-Farber Cancer Institute aims to enhance cancer trial enrollment by identifying eligible patients. ja.ma/4m4eTzl
Advances in #AI have enhanced the robots' interactions, leading to NIH-funded trials to explore their impact on cognitive behavioral therapy for anxiety. ja.ma/4m76mLR
GPT-4o generated Spanish translations of pediatric patient instructions were comparable in quality to those by professional human translators as evaluated using a standardized framework. ja.ma/46EeFdc
Roy Perlis, Editor in Chief of JAMA+ AI, joins economist Daniel Lindsay, to discuss the clinical and economic outcomes of 3D total-body photography to detect lesions and melanoma in patients at high risk of developing skin cancer. ➡️ Listen now: ja.ma/4l7yays
Melanoma cases are rising globally, with early detection crucial for preventing expensive treatments and adverse outcomes. Could #AI improve the cost-effectiveness of 3D total-body photography? Learn more in this Editor's Note. ja.ma/4l7ani8
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Google Play @GooglePlay
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