Opportunities and challenges for ChatGPT and large language models in biomedicine and health
National Institutes of Health · United States National Library of Medicine · +1 more institution
Abstract
ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergence of diverse applications in the field of biomedicine and health. In this work, we examine the diverse applications of large language models (LLMs), such as ChatGPT, in biomedicine and health. Specifically we explore the areas of biomedical information retrieval, question answering, medical text summarization, information extraction, and medical education, and investigate whether LLMs possess the transformative power to revolutionize these tasks or whether the distinct complexities of biomedical domain presents unique challenges.…
Citation impact
- FWCI
- 12.35
- Percentile
- 100%
- References
- 138
Authors
14- STShubo Tian
National Institutes of Health, United States National Library of Medicine
- QJQiao Jin
National Institutes of Health, United States National Library of Medicine
- LYLana Yeganova
National Institutes of Health, United States National Library of Medicine
- PLPo‐Ting Lai
National Institutes of Health, United States National Library of Medicine
- QZQingqing Zhu
National Institutes of Health, United States National Library of Medicine
Topics & keywords
- Biomedicine
- Computer science
- Data science
- Natural language processing
- Bioinformatics
- Biology
- Quality Education