Communications Medicine· 2023Q1
The future landscape of large language models in medicine
- 971citations
- Q1SCImago
- 2023year
Short summary
Large language models (LLMs) like ChatGPT offer near-human text processing capabilities, presenting both opportunities to democratize medical knowledge and risks of spreading misinformation in clinical practice, research, and education.
AI-generated from the title and abstract; the full text is not read.
Key points
- LLMs can process and generate text at near-human levels.
- LLMs have the potential to democratize medical knowledge and improve healthcare access.
- Risks include the spread of misinformation and scientific misconduct due to lack of accountability.
- The article provides a comprehensive overview of LLM potentials and limitations in clinical practice, research, and education.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Communications Medicine, 2023 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine