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. 2023 Mar 4;47(1):33.
doi: 10.1007/s10916-023-01925-4.

Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

Marco Cascella  1 , Jonathan Montomoli  2 , Valentina Bellini  3 , Elena Bignami  4
Affiliations

Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

Marco Cascella et al. J Med Syst. .

Abstract

This paper aims to highlight the potential applications and limits of a large language model (LLM) in healthcare. ChatGPT is a recently developed LLM that was trained on a massive dataset of text for dialogue with users. Although AI-based language models like ChatGPT have demonstrated impressive capabilities, it is uncertain how well they will perform in real-world scenarios, particularly in fields such as medicine where high-level and complex thinking is necessary. Furthermore, while the use of ChatGPT in writing scientific articles and other scientific outputs may have potential benefits, important ethical concerns must also be addressed. Consequently, we investigated the feasibility of ChatGPT in clinical and research scenarios: (1) support of the clinical practice, (2) scientific production, (3) misuse in medicine and research, and (4) reasoning about public health topics. Results indicated that it is important to recognize and promote education on the appropriate use and potential pitfalls of AI-based LLMs in medicine.

Keywords: Artificial intelligence; ChatGPT; Clinical resaerch; Medicine.

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Conflict of interest statement

The authors have no competing interests to declare that are relevant to the content of this article.

References

    1. Floridi L, Chiriatti M. GPT-3: Its Nature, Scope, Limits, and Consequences. Minds & Machines. 2020;30:681–694. doi: 10.1007/s11023-020-09548-1. - DOI
    1. Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser L, Polosukhin L. Attention is All You Need. Advances in Neural Information Processing Systems. 2017;30:5998–6008.
    1. Kung HT, Cheatham M, ChatGPT, Medenilla A, Sillos C, De Leon L, Elepaño C, Madriaga M, Aggabao R, Diaz-Candido G, Maningo J, Tseng V (2022) Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models. medRxiv 2022.12.19.22283643; doi: 10.1101/2022.12.19.22283643 - PMC - PubMed
    1. Liévin V, Egeberg Hother C, Winther O (2022). Can large language models reason about medical questions? arXiv. doi: 10.48550/ARXIV.2207.08143. - PMC - PubMed
    1. Hutson M. Could AI help you to write your next paper? Nature. 2022;611(7934):192–193. doi: 10.1038/d41586-022-03479-w. - DOI - PubMed

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