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.

To mark JAMA+ AI’s first anniversary, editors shared their top articles. @JAMAInternalMed AI Editor @cpgYALE selected a study that found #LLM–generated summaries were similar in quality to those by clinicians. 🔗: https://t.co/MBguj3rjdv

To mark JAMA+ AI’s first anniversary, editors shared their top articles. @JAMA_Current AI Editor @pirracchior chose a study using reinforcement learning to guide vasopressin initiation in patients with septic shock already receiving norepinephrine. 🔗: https://t.co/gdfIpAaNRJ

To mark JAMA+ AI’s first anniversary, editors shared their top articles. @JAMASurgery AI Editor @JJcolemanMD chose a study that used #AI to map immune cells in #PancreaticCancer, making spatial phenotyping accessible and aiding prognosis. 🔗: https://t.co/jxw0HFqsDU

#AI translation of pediatric inpatient discharge instructions was comparable to professional translation for Spanish, but performed worse for Chinese, Vietnamese, and Somali. https://t.co/EAeT9qgCjS

Among preterm infants with severe thrombocytopenia, this modeling study found substantial variation among individuals in predicted benefits and harms of prophylactic platelet transfusion based on their current clinical characteristics. https://t.co/YWzB8r0Hjh

In this episode of JAMA+ AI Conversations, JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, speaks with Ajamete Kaykas, PhD, chief exploration officer at insitro, a biotech company aiming to combine machine learning with wet lab work. https://t.co/jnfw5s99Nj

To mark JAMA+ AI’s first anniversary, editors shared their top article picks. @JAMADerm AI Editor @Dr_vron chose a study on an #AI-enabled #wearable that detects nocturnal scratching in mild atopic dermatitis and intervenes using haptic feedback. 🔗: https://t.co/2zwc2vhyEX

Manufacturers of more than 90% of FDA-listed #AI- and machine learning–enabled devices publicly disclosed no payments to clinicians or teaching hospitals from 2017-2023, but the dollar amount of general payments doubled in that time frame. https://t.co/PwYAYR4lqy

Will #AI usher in a new era of rapid drug discovery? In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis, MD, MSc, interviews Ajamete Kaykas, PhD, Chief eXploration Officer at insitro. Listen now: https://t.co/T6CpS3cGo6

How can transparency and communication help build trust in #AI-driven health care? Listen to JAMA+ AI EIC Roy Perlis, MD, MSc, & Associate Editor Yulin Hswen, ScD, MPH, discuss this & more in this special anniversary episode of JAMA+ AI. 🎧 Listen here: https://t.co/M9G1QUIN6K

#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: https://t.co/iZNzzd8T7C

Are predictive models in medicine stuck in a cycle of theoretical validation? Hear JAMA+ AI EIC Roy Perlis, MD, MSc, & Associate Editor Yulin Hswen, ScD, MPH, discuss why prospective trials are needed. 🎧 Listen now: https://t.co/FquefPypz0

Are we trading critical thinking for convenience—& risking cognitive complacency—with the rise of #AI in medicine? JAMA+ AI EIC Roy Perlis, MD, MSc, & Associate Editor Yulin Hswen, ScD, MPH, discuss what this could mean for the future of clinical care. 🎧 https://t.co/FsuWlqwbsk

For textual questions, current foundation models showed improvements in #ophthalmological knowledge reasoning when compared with older #LLMs and ophthalmology trainees, with performance comparable with that of expert ophthalmologists. https://t.co/lmml35xrPs

#AI translation of pediatric inpatient discharge instructions was comparable to professional translation for Spanish, but performed worse for Chinese, Vietnamese, and Somali. https://t.co/rUYKYxTKoJ

Will #AI usher in a new era of rapid drug discovery? In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis, MD, MSc, interviews Ajamete Kaykas, PhD, Chief eXploration Officer at insitro. Listen now: https://t.co/g8cL1ME1jn

Manufacturers of more than 90% of FDA-listed #AI- and machine learning–enabled devices publicly disclosed no payments to clinicians or teaching hospitals from 2017-2023, but the dollar amount of general payments doubled in that time frame. https://t.co/6B4IauFN2V

Among preterm infants with severe thrombocytopenia, this modeling study found substantial variation among individuals in predicted benefits and harms of prophylactic platelet transfusion based on their current clinical characteristics. https://t.co/oAqN29Z8gB

In this episode of JAMA+ AI Conversations, JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, speaks with Ajamete Kaykas, PhD, chief exploration officer at insitro, a biotech company aiming to combine machine learning with wet lab work. https://t.co/OnxWz1wA6e

From @JAMA_current: Among preterm infants with severe thrombocytopenia, this modeling study found variation among individuals in predicted benefits and harms of prophylactic platelet transfusion based on their current clinical characteristics. https://t.co/WGHVEztUe7