Journal of Medical Systems· 2023Q1
Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios
- 1,123citations
- Q1SCImago
- 2023year
Short summary
ChatGPT demonstrates potential in healthcare for clinical support and scientific writing but requires education on its appropriate use and pitfalls, alongside addressing ethical concerns.
AI-generated from the title and abstract; the full text is not read.
Key points
- ChatGPT's potential applications in healthcare include clinical practice support and scientific production.
- The study investigated ChatGPT's feasibility in four key areas: clinical support, scientific output, misuse, and public health.
- Recognizing and promoting education on the appropriate use and potential pitfalls of LLMs in medicine is crucial.
- Ethical concerns surrounding ChatGPT's use in scientific writing and research must be addressed.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Journal of Medical Systems, 2023 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine