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

被引：584

作者：

Cascella, Marco ^{[1
]}

Montomoli, Jonathan ^{[2
]}

Bellini, Valentina ^{[3
]}

Bignami, Elena ^{[3
]}

机构：

[1] Fdn Pascale, Ist Nazl Tumori, Dept Anesthesia & Crit Care, IRCCS, Via Mariano Semmola, 53, I-80131 Naples, Italy

[2] AUSL Romagna, Infermi Hosp, Dept Anesthesia & Intens Care, Viale Settembrini 2, I-47923 Rimini, Italy

[3] Univ Parma, Dept Med & Surg, Anesthesiol Crit Care & Pain Med Div, Viale Gramsci 14, I-43126 Parma, Italy

来源：

JOURNAL OF MEDICAL SYSTEMS | 2023年 / 47卷 / 01期

关键词：

Artificial intelligence; ChatGPT; Medicine; Clinical resaerch; TRIAL;

D O I：

10.1007/s10916-023-01925-4

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页数：5

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