Language generation models in medicine: Opportunities, challenges, and ethical considerations

Language generation models (LLMs) like ChatGPT, GPT-4, and others have revolutionised text generation, emulating human responses based on prompts or queries. However, their rapid integration in various sectors, including medicine, raises concerns about potential misuse. In medicine, LLMs have extensive applications, aiding patient care, medical research, and education. They enhance communication, simplify medical language, and offer multilingual translations, streamlining clinical decision-making. In research, they assist in content creation and data analysis. In education, LLMs act as personalised teaching tools. Despite these benefits, regulation and frameworks are crucial to prevent misinformation and ensure safe use, especially in critical clinical settings. Open-source LLM projects and secured APIs are proposed solutions, emphasising data quality to enhance LLM output and address ethical challenges in their application.

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