This paper is in the following e-collection/theme issue:

Guest Editorial (3) Clinical Information and Decision Making (1677) Artificial Intelligence (1764) Viewpoints on and Experiences with Digital Technologies in Health (89) Adoption and Change Management of eHealth Systems (807) Chatbots and Conversational Agents (640) Generative Language Models Including ChatGPT (512)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51776, first published .
Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

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

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

Authors of this article:

Kathleen Fear1 Author Orcid Image ;   Conrad Gleber1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Alkhaaldi S, Kassab C, Dimassi Z, Oyoun Alsoud L, Al Fahim M, Al Hageh C, Ibrahim H. Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study. JMIR Medical Education 2023;9:e51302 View
  2. Rosselló-Jiménez D, Docampo S, Collado Y, Cuadra-Llopart L, Riba F, Llonch-Masriera M. Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey. European Geriatric Medicine 2024;15(4):1129 View
  3. Parmanto B, Aryoyudanta B, Soekinto T, Setiawan I, Wang Y, Hu H, Saptono A, Choi Y. A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study. JMIR Formative Research 2024;8:e54633 View
  4. Barman K, Wood N, Pawlowski P. Beyond transparency and explainability: on the need for adequate and contextualized user guidelines for LLM use. Ethics and Information Technology 2024;26(3) View
  5. de Arriba-Pérez F, García-Méndez S. Leveraging large language models through natural language processing to provide interpretable machine learning predictions of mental deterioration in real time. Arabian Journal for Science and Engineering 2024 View
  6. Aranda Rubio Y, Baztán Cortés J, Canillas del Rey F. Is Artificial Intelligence ageist?. European Geriatric Medicine 2024;15(6):1957 View
  7. Browne R, Alam M, Saleem Q, Hyder A, Kudo T, D’Agresti F, Maggio M, Homma K, Siitonen E, Kounosu N, Jokinen K, McTear M, Napolitano G, Kim K, Tsujii J, Wieching R, Ogawa T, Taki Y. Reflective Dialogues with a Humanoid Robot Integrated with an LLM and a Curated NLU System for Positive Behavioral Change in Older Adults. Electronics 2024;13(22):4364 View
  8. Cheng H. ChatGPT’s Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study. JMIR Formative Research 2025;9:e63494 View
  9. Piras A, Mastroleo F, Colciago R, Morelli I, D’Aviero A, Longo S, Grassi R, Iorio G, De Felice F, Boldrini L, Desideri I, Salvestrini V. How Italian radiation oncologists use ChatGPT: a survey by the young group of the Italian association of radiotherapy and clinical oncology (yAIRO). La radiologia medica 2024;130(4):453 View

Books/Policy Documents

  1. Crista V, Martinho D, Marreiros G. Progress in Artificial Intelligence. View
  2. Reis da Silva T. Physical Health, Mental Health, and Human Well-Being in the Age of AI. View
  3. Crista V, Martinho D, Marreiros G. Distributed Computing and Artificial Intelligence, Special Sessions II, 21st International Conference. View