{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T21:43:11Z","timestamp":1776116591364,"version":"3.50.1"},"reference-count":93,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T00:00:00Z","timestamp":1692835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI\u2019s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generative AI applications in medicine and healthcare. We then briefly discuss some associated issues, such as trust, veracity, clinical safety and reliability, privacy, copyrights, ownership, and opportunities, e.g., AI-driven conversational user interfaces for friendlier human-computer interaction. We conclude that generative AI will play an increasingly important role in medicine and healthcare as it further evolves and gets better tailored to the unique settings and requirements of the medical domain and as the laws, policies and regulatory frameworks surrounding its use start taking shape.<\/jats:p>","DOI":"10.3390\/fi15090286","type":"journal-article","created":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T10:09:53Z","timestamp":1692871793000},"page":"286","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":339,"title":["Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges"],"prefix":"10.3390","volume":"15","author":[{"given":"Peng","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Data Science Institute, Vanderbilt University, Nashville, TN 37240, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2400-6303","authenticated-orcid":false,"given":"Maged N.","family":"Kamel Boulos","sequence":"additional","affiliation":[{"name":"School of Medicine, University of Lisbon, 1649-028 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1017\/S1351324920000601","article-title":"GPT-3: What\u2019s it good for?","volume":"27","author":"Dale","year":"2021","journal-title":"Nat. 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