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The future landscape of large language models in medicine.
Commun. Med. 3:141 (2023)
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI's ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level that is nearly indistinguishable from human capabilities. The possibility to actively interact with models like ChatGPT makes LLMs attractive tools in various fields, including medicine. While these models have the potential to democratize medical knowledge and facilitate access to healthcare, they could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency. In this article, we provide a systematic and comprehensive overview of the potentials and limitations of LLMs in clinical practice, medical research and medical education.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Schlagwörter
Patient Safety; Communication; Impact; Care
ISSN (print) / ISBN
2730-664X
e-ISSN
2730-664X
Zeitschrift
Communications Medicine
Quellenangaben
Band: 3,
Heft: 1,
Artikelnummer: 141
Verlag
Springer
Verlagsort
Campus, 4 Crinan St, London, N1 9xw, England
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Förderungen
German Academic Exchange Service (SECAI)
German Federal Ministry of Education and Research (PEARL)
Max-Eder-Programme of the German Cancer Aid
German Federal Ministry of Health (DEEP LIVER)
BMBF (Federal Ministry of Education and Research) in DAAD project as part of the program Konrad Zuse Schools of Excellence in Artificial Intelligence
Helmholtz Association under the joint research school "Munich School for Data Science-MUDS"
Add-on Fellowship of the Joachim Herz Foundation
German Federal Ministry of Education and Research (PEARL)
Max-Eder-Programme of the German Cancer Aid
German Federal Ministry of Health (DEEP LIVER)
BMBF (Federal Ministry of Education and Research) in DAAD project as part of the program Konrad Zuse Schools of Excellence in Artificial Intelligence
Helmholtz Association under the joint research school "Munich School for Data Science-MUDS"
Add-on Fellowship of the Joachim Herz Foundation