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

This paper aims to highlight the potential applications and limits of a large language model (LLM) in healthcare. 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.

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• 1 ChatGPT is a recently developed LLM that was trained on a massive dataset of text for dialogue with users.
• 2 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.
• 3 Additionally, while the use of ChatGPT in writing scientific articles and other scientific outputs may have potential benefits, important ethical concerns must also be addressed.

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

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