Explore JAMA Network Open’s Health Informatics collection, including open access science about electronic health records, approaches to Big Data, and more.
This cross-sectional study assesses the performance of large language models (LLMs) on neurology board–style examinations.
This study discusses overcoming limitations of open surgery artificial intelligence models by curating the largest collection of annotated videos and leveraging this data set.
This Medical News article is an interview with infectious disease physician Heather Yun, MD, cochair of this year’s Infectious Diseases Week meeting in Boston.
This qualitative study examines the perceptions of data set experts on the present status of development of artificial intelligence (AI)–ready data sets for use in machine learning research.
This Viewpoint explores common concerns about using artificial intelligence to provide mental health therapy for children and adolescents.
This case series study examines the clinical evidence cited for US Food and Drug Administration–approved clinical decision support devices for use in the critical care setting.
This Viewpoint discusses benefits and risks of using conversational artificial intelligence platforms to deliver psychotherapy to adolescents.
This randomized clinical trial examines whether a voice-based conversational artificial intelligence (AI) application can help patients with type 2 diabetes titrate basal insulin at home to achieve rapid glycemic control.
This quality improvement study examines the effectiveness of a learning program for molecular tumor boards to share best practices for providing optimal treatment recommendations in 50 identical simulated cases of advanced cancer.
This Viewpoint discusses a recent executive order by US President Joe Biden about the development and implementation of AI, including the role of government vs the private sector and how the order may affect health care.
Generative artificial intelligence (AI) has been touted as a potential innovation for greater diagnostic accuracy and clinical efficiency in health care, but whether generative AI will deliver on this promise or fall to the “productivity paradox” is examined in this Special Communication.
This Viewpoint discusses the type and amount of data needed for machine learning models to accurately predict diagnoses and treatment outcomes at the individual patient level.
In this Medical News article, Johns Hopkins University computer scientist Suchi Saria, PhD, MSc, discusses the use of AI tools in early sepsis detection and other clinical applications.
This cross-sectional study assesses the time primary care physicians spent on the electronic health record in 31 primary care clinics in 2 academic medical center–based primary care networks in 2021.
In this Medical News interview, neurologist Bernard S. Chang, MD, MMSc, dean for medical education at Harvard Medical School, discusses how artificial intelligence will shift clinical training, med school admissions, and teaching.
This qualitative study evaluates clinical decision support usability and workflow integration among emergency department (ED) physicians who use it in clinical practice.
This systematic review examines evidence for the cost-effectiveness of at-home blood pressure (BP) self-monitoring vs monitoring in a clinical setting among patients with hypertension.
Customize your JAMA Network experience by selecting one or more topics from the list below.