دورية أكاديمية

Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging-Artificial Intelligence & Technology Collaboratory for Aging Research Symposium.

التفاصيل البيبلوغرافية
العنوان: Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging-Artificial Intelligence & Technology Collaboratory for Aging Research Symposium.
المؤلفون: Abadir PM; Johns Hopkins Medicine, Johns Hopkins University, Baltimore, Maryland, USA.; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA., Battle A; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA., Walston JD; Johns Hopkins Medicine, Johns Hopkins University, Baltimore, Maryland, USA., Chellappa R; Johns Hopkins Medicine, Johns Hopkins University, Baltimore, Maryland, USA.; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
المصدر: The journals of gerontology. Series A, Biological sciences and medical sciences [J Gerontol A Biol Sci Med Sci] 2024 Sep 01; Vol. 79 (9).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: published on behalf of the Gerontological Society of America by Oxford University Press Country of Publication: United States NLM ID: 9502837 Publication Model: Print Cited Medium: Internet ISSN: 1758-535X (Electronic) Linking ISSN: 10795006 NLM ISO Abbreviation: J Gerontol A Biol Sci Med Sci Subsets: MEDLINE
أسماء مطبوعة: Publication: Washington, DC : published on behalf of the Gerontological Society of America by Oxford University Press
Original Publication: Washington, DC : Gerontological Society of America, c1995-
مواضيع طبية MeSH: Artificial Intelligence* , Dementia*/therapy , National Institute on Aging (U.S.)*, Humans ; Aged ; United States ; Aging/physiology ; Precision Medicine/methods ; Congresses as Topic
مستخلص: Large Language Models (LLMs) stand on the brink of reshaping the field of aging and dementia care, challenging the one-size-fits-all paradigm with their capacity for precision medicine and individualized treatment strategies. The "Large Pre-Trained Models with a Focus on AD/ADRD and Healthy Aging" symposium, organized by the National Institute on Aging and the Johns Hopkins Artificial Intelligence & Technology Collaboratory for Aging Research, served as a platform for exploring this potential. The symposium brought together diverse experts to discuss the integration of LLMs in aging and dementia care. They highlighted the roles LLMs can play in clinical decision support and predictive analytics, while also addressing critical ethical concerns including bias, privacy, and the responsible use of artificial intelligence (AI). The discussions focused on the need to balance technological advancement with ethical considerations in AI deployment. In conclusion, the symposium projected a future where LLMs not only revolutionize healthcare practices but also pose significant challenges that require careful navigation.
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معلومات مُعتمدة: P30 AG073104 United States AG NIA NIH HHS; P30AG073104 United States NH NIH HHS
فهرسة مساهمة: Keywords: Alzheimer’s disease; Artificial intelligence; ChatGPT; Healthy aging; Large language models
تواريخ الأحداث: Date Created: 20240713 Date Completed: 20240823 Latest Revision: 20240825
رمز التحديث: 20240826
مُعرف محوري في PubMed: PMC11341983
DOI: 10.1093/gerona/glae176
PMID: 39001657
قاعدة البيانات: MEDLINE
الوصف
تدمد:1758-535X
DOI:10.1093/gerona/glae176