The future landscape of large language models in medicine
Будущий ландшафт больших языковых моделей в медицине
2023-10-10
SCID: 54.1/hdjdf4tj
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ChatGPTclinical practicelarge language modelsmedical educationmedical research
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Abstract (AI)
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI's ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level that is nearly indistinguishable from human capabilities. The possibility to actively interact with models like ChatGPT makes LLMs attractive tools in various fields, including medicine. While these models have the potential to democratize medical knowledge and facilitate access to healthcare, they could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency. In this article, we provide a systematic and comprehensive overview of the potentials and limitations of LLMs in clinical practice, medical research and medical education.
Key Findings
1
Because of limited accountability and transparency, LLMs may also disseminate misinformation and exacerbate scientific misconduct.
2
Interactive LLMs such as ChatGPT have potential applications across clinical practice, medical research, and medical education.
3
LLMs could democratize medical knowledge and improve access to healthcare.
4
Large language models can answer questions, summarize, paraphrase, and translate text at a level nearly indistinguishable from human capabilities.
5
The article systematically reviews the potential benefits and limitations of LLMs across major medical domains.
Research Object
large language models (LLMs) in medicine
Research Subject
the potentials and limitations of LLMs in clinical practice, medical research, and medical education, including their effects on healthcare access, misinformation, accountability, transparency, and scientific misconduct
Publication Details
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2023-10-10
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