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Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice
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 ho...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534283/ https://www.ncbi.nlm.nih.gov/pubmed/37703085 http://dx.doi.org/10.2196/51776 |
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author | Fear, Kathleen Gleber, Conrad |
author_facet | Fear, Kathleen Gleber, Conrad |
author_sort | Fear, Kathleen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10534283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-105342832023-09-29 Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice Fear, Kathleen Gleber, Conrad JMIR Aging Guest Editorial 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. JMIR Publications 2023-09-13 /pmc/articles/PMC10534283/ /pubmed/37703085 http://dx.doi.org/10.2196/51776 Text en ©Kathleen Fear, Conrad Gleber. Originally published in JMIR Aging (https://aging.jmir.org), 13.09.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Guest Editorial Fear, Kathleen Gleber, Conrad Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice |
title | Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice |
title_full | Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice |
title_fullStr | Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice |
title_full_unstemmed | Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice |
title_short | Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice |
title_sort | shaping the future of older adult care: chatgpt, advanced ai, and the transformation of clinical practice |
topic | Guest Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534283/ https://www.ncbi.nlm.nih.gov/pubmed/37703085 http://dx.doi.org/10.2196/51776 |
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