%0 Journal Article
%@ 2561-7605
%I JMIR Publications
%V 6
%N 
%P e51776
%T Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice
%A Fear,Kathleen
%A Gleber,Conrad
%+ UR Health Lab, University of Rochester Medical Center, 30 Corporate Woods, Suite 180, Rochester, NY, 14623, United States, 1 585 341 4954, kathleen_fear@urmc.rochester.edu
%K generative AI
%K artificial intelligence
%K large language models
%K ChatGPT
%K Generative Pre-trained Transformer
%D 2023
%7 13.9.2023
%9 Guest Editorial
%J JMIR Aging
%G English
%X As the older adult population in the United States grows, new approaches to managing and streamlining clinical work are needed to accommodate their increased demand for health care. Deep learning and generative artificial intelligence (AI) have the potential to transform how care is delivered and how clinicians practice in geriatrics. In this editorial, we explore the opportunities and limitations of these technologies.
%M 37703085
%R 10.2196/51776
%U https://aging.jmir.org/2023/1/e51776
%U https://doi.org/10.2196/51776
%U http://www.ncbi.nlm.nih.gov/pubmed/37703085