Accepted for/Published in: JMIR Medical Education
Date Submitted: Mar 14, 2023
Date Accepted: Jun 30, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Generative Language Model in Clinical Medicine: Opportunities and Drawback
ABSTRACT
The recent massive success of ChatGTP, a generative language model (also known as generative language model) developed by OpenAI, has spurred the development of other similar models. Many are impressed by the chatbot’s ability to generate human-like responses on diverse topics, through state-of-the-art natural language processing model developed using Reinforcement Learning with Human Feedback (RLHF). Over the years, researchers have explored the use of generative language model in various aspects of clinical medicine, even before the release of ChatGPT. The emergence of powerful applications like ChatGPT makes the use of artificial intelligence (AI) promising in clinical medicine. However, despite the encouraging outlook, the use of ChatGPT and other AI applications is not without challenges. This article offers an in-depth overview of generative language model such as ChatGPT and discusses the pros and cons and its ethical considerations in clinical medicine.
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