Artificial Intelligence in Healthcare and Education
Ethics of large language models in medicine and medical research
Hanzhou Li, John T. Moon, Saptarshi Purkayastha, Leo Anthony Celi, Hari Trivedi, Judy Wawira Gichoya
Abstract
Large language models (LLMs) are a type of deep learning model that are trained on vast amounts of text data with the goal of generating new text that closely resembles human responses. The release of ChatGPT (OpenAI, San Francisco, CA, USA), an LLM-based chatbot, on Nov 30, 2022, propelled LLMs to the forefront of public attention and made them accessible to millions of people to experiment with. Since then, medical practitioners and researchers have been exploring potential applications of LLMs, as much of medical practice and research revolve around large text-based tasks, such as presentations, publications, documentation, and reporting.
Sourced from arXiv · Updated September 2, 2026
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Common questions
What is "Ethics of large language models in medicine and medical research" about?
Large language models (LLMs) are a type of deep learning model that are trained on vast amounts of text data with the goal of generating new text that closely resembles human responses. The release of ChatGPT (OpenAI, San Francisco, CA, USA), an LLM-based chatbot, on Nov 30, 2022
Who wrote this paper?
Hanzhou Li, John T. Moon, Saptarshi Purkayastha, Leo Anthony Celi, Hari Trivedi, Judy Wawira Gichoya
Where can I read the full paper?
The full text is available as a PDF on arXiv (linked above), published April 27, 2023.
Does this paper have a DOI?
Yes: https://doi.org/10.1016/s2589-7500(23)00083-3.