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- Title
Timely need for navigating the potential and downsides of LLMs in healthcare and biomedicine.
- Authors
Ray, Partha Pratim
- Abstract
The article titled "Timely need for navigating the potential and downsides of LLMs in healthcare and biomedicine" provides a comprehensive exploration of the opportunities and challenges associated with large language models (LLMs) in the field of biomedicine and healthcare. The authors discuss the transformative potential of LLMs in areas such as biomedical information retrieval, question answering, medical text summarization, information extraction, and medical education. They also highlight the need for caution regarding data privacy, ethical considerations, and the mitigation of biases. The article presents a list of popular LLMs in the health domain and identifies limitations and new challenges, along with mitigation strategies. Additionally, it suggests various applications of LLMs in healthcare, including personalized treatment recommendations, predictive health analytics, and automated medical literature review. The authors emphasize the importance of proceeding with ethical principles, inclusivity, and collaboration in integrating LLMs into healthcare. While the article provides valuable insights, it could have further explored futuristic challenges and applications of LLMs in the biomedical domain. Overall, this work contributes to the ongoing discourse on the role of AI in healthcare and sets the stage for future research and development in this field.
- Subjects
LANGUAGE models; MEDICAL personnel; COACHING psychology; MEDICAL terminology; HEALTH information technology; MEDICAL care; TEXT summarization
- Publication
Briefings in Bioinformatics, 2024, Vol 25, Issue 3, p1
- ISSN
1467-5463
- Publication type
Article
- DOI
10.1093/bib/bbae214