From JAMA Ophthalmology: Machine learning algorithms identified subtle visual pathway abnormalities in individuals with mild TBI. These abnormalities may lead to vision problems such as light sensitivity, blurred vision, and difficulty reading. https://ja.ma/3ZLSzAB
Updates
-
From JAMA Pediatrics: Despite the rapid growth of #AI-enabled medical devices, only a small proportion are authorized for pediatric use, with limited validation in pediatric populations and insufficient standardized reporting on pediatric testing by manufacturers. https://ja.ma/403PX2o
-
-
From JAMA Network Open: The use of promotional language in biomedical grant applications is associated with increased funding success; gender, age, and grant amount explained most of the variation in the use of promotional language. https://ja.ma/3BBiSRK
-
-
From JAMA Network Open: #AI-generated emergency department (ED) handoff notes, while promising for enhancing accuracy and efficiency in patient transitions, still need further validation and integration with clinician oversight to ensure quality and patient safety. https://ja.ma/4gkY93S
-
-
From JAMA Network Open: LLM-generated emergency medicine-to-inpatient handoff notes performed similarly compared with standardized physician-written summaries. https://ja.ma/41G3yOp
-
-
From JAMA: In resource-limited settings, an integrated #AI tool allows novice users to improve gestational age estimates. Jeffrey Stringer, the division director of global women’s health and a professor of obstetrics and gynecology at the University of North Carolina School of Medicine in Chapel Hill, joins JAMA+ AI Editor in Chief Roy Perlis to discuss the use of AI to estimate gestational age in pregnancy. https://ja.ma/49JAqI3
-
-
"We're going to need clinical health systems and professional societies to get very involved in self-regulation." FDA Commissioner Robert Califf speaks with JAMA+ AI Editor in Chief Roy Perlis about the challenges of regulating #AI in health care. Dr Califf previously joined JAMA Deputy Editor Gregory Curfman to discuss COVID-19 vaccine modifications, the FDA’s approach to evaluating evidence, and efforts to combat health misinformation. Watch the Q&A: https://ja.ma/3OtQaVY
-
From JAMA Health Forum: This Viewpoint explores the unique attributes of dentistry that could leverage #AI for many improvements, including greater health equity. https://ja.ma/4fDhn4c
-
-
From JAMA Network Open: The performance of antimicrobial resistance risk stratification models for sepsis varied widely across hospitals and patient subgroups, primarily influenced by local resistance rates rather than patient case mix. https://ja.ma/4gfRVlx
-
-
From JAMA: Viewpoint from Claudia Haupt and Mason Marks discusses leveraging the Federal Trade Commission to combat #AI-generated medical disinformation. https://ja.ma/40RNNnd
-