ChatGPT, Bard, and Large Language Models for Biomedical Research: Opportunities and Pitfalls.
Bard
Biomedical research
ChatGPT
Large language models
Natural language processing
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
10
06
2023
accepted:
13
06
2023
medline:
9
11
2023
pubmed:
17
6
2023
entrez:
16
6
2023
Statut:
ppublish
Résumé
Large Language Models (LLMs) such as ChatGPT and Bard have emerged as groundbreaking interactive chatbots, capturing significant attention and transforming the biomedical research landscape. These powerful tools offer immense potential for advancing scientific inquiry, but they also present challenges and pitfalls. Leveraging large language models, researchers can streamline literature reviews, summarize complex findings, and even generate novel hypotheses, enabling the exploration of uncharted scientific territories. However, the inherent risk of misinformation and misleading interpretations underscores the critical importance of rigorous validation and verification processes. This article provides a comprehensive overview of the current landscape and delves into the opportunities and pitfalls associated with employing LLMs in biomedical research. Furthermore, it sheds light on strategies to enhance the utility of LLMs in biomedical research, offering recommendations to ensure their responsible and effective implementation in this domain. The findings presented in this article contribute to the advancement of biomedical engineering by harnessing the potential of LLMs while addressing their limitations.
Identifiants
pubmed: 37328703
doi: 10.1007/s10439-023-03284-0
pii: 10.1007/s10439-023-03284-0
doi:
Types de publication
Review
Letter
Langues
eng
Sous-ensembles de citation
IM
Pagination
2647-2651Informations de copyright
© 2023. The Author(s) under exclusive licence to Biomedical Engineering Society.
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