Explore the latest in AI in medicine, including studies of how chatbots, large language models (LLMs), natural language processing, and machine learning are transforming medicine and health care.
This Medical News article is an interview with FDA Commissioner Robert Califf, MD, about the agency鈥檚 regulatory powers over artificial intelligence tools for use in health care and biomedicine.
This cross-sectional study investigates whether there is an association between artificial intelligence (AI) use in radiology and radiologist burnout in China.
This Viewpoint describes considerations for regulatory oversight in the implementation of artificial intelligence鈥揺nabled prognostic devices.
This Medical News article is an interview with Sarah C. Hull, MD, MBE, a cardiologist and clinical ethicist at Yale School of Medicine, about appropriate boundaries for use of artificial intelligence in clinical settings.
This Medical News article is an interview with National Academy of Sciences President Marcia McNutt, PhD, and JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, about responsible use of generative AI for scientific research.
This diagnostic study describes the development and validation of a deep learning natural language processing strategy for extracting functional status assessments from unstructured clinical documentation among patients with heart failure (HF).
This cohort study evaluates the performance of a risk stratification model for resistant gram-negative bacilli infection among patients with sepsis.
This cross-sectional study assesses a language model鈥檚 ability to discern between messages from adolescent patients and those from their parents/guardians and subsequently generate appropriate responses.
This cohort study examines patient data from January 2019 to December 2023 to evaluate national trends in the use of artificial intelligence鈥揵ased screenings to detect diabetic retinopathy among patients with types 1 or 2 diabetes.
This randomized clinical trial evaluates the diagnostic performance of physicians with use of a large language model compared with conventional resources.
This Viewpoint discusses the need for guidance and governance in assessing the safety of health care artificial intelligence (AI) and machine learning systems.
This cross-sectional study assesses the ability of unimodal and multimodal artificial intelligence (AI) chatbots to generate medically accurate responses to questions about clinical oncology cases.
This Viewpoint summarizes recent updates to the Declaration of Helsinki, discusses its relevance in the context of artificial intelligence (AI) in health research, and highlights issues that could affect its future implementation as the use of AI in research increases.
This cohort study evaluates the use of a deep learning system to discriminate arteritic from nonarteritic anterior ischemic optic neuropathy on color fundus images.
This cross-sectional study of patient queries in US electronic health records examines laypersons鈥� satisfaction with answers generated with artificial intelligence (AI) compared with clinician responses, and whether results were concordant with clinician-determined quality of AI responses.
This Viewpoint explores how artificial intelligence technologies can adopt a clinical practice framework to identify use cases and outline the technology鈥檚 objectives and potential uses in modern health care.
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