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Accepted for/Published in: JMIR Aging

Date Submitted: Aug 11, 2023
Date Accepted: Aug 25, 2023

The final, peer-reviewed published version of this preprint can be found here:

Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

Fear K, Gleber C

Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

JMIR Aging 2023;6:e51776

DOI: 10.2196/51776

PMID: 37703085

PMCID: 10534283

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Shaping the Future of Elder Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

  • Kathleen Fear; 
  • Conrad Gleber

ABSTRACT

As the elderly population in the United States grows, new approaches to managing and streamlining clinical work are needed to accommodate their increased demand for healthcare. Deep learning and generative artificial intelligence (AI) have the potential to transform how care is delivered and how clinicians practice in geriatrics. In this paper, we explore the opportunities and limitations of these technologies.


 Citation

Please cite as:

Fear K, Gleber C

Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

JMIR Aging 2023;6:e51776

DOI: 10.2196/51776

PMID: 37703085

PMCID: 10534283

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