Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine
Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolutionary changes in health care. These models excel in natural language processing (NLP), enhancing clinical support, diagnosis, treatment, and medical research. Breakthroughs, like GPT-4 and BERT (Bidirectional Encoder Representations from Transformer), demonstrate LLMs' evolution through improved computing power and data. However, their high hardware requirements are being addressed through technological advancements. LLMs are unique in processing multimodal data, thereby improving emergency, elder care, and digital medical procedures. Challenges include ensuring their empirical reliability, addressing ethical and societal implications, especially data privacy, and mitigating biases while maintaining privacy and accountability. The paper emphasizes the need for human-centric, bias-free LLMs for personalized medicine and advocates for equitable development and access. LLMs hold promise for transformative impacts in health care.
Authors
- Kuo Zhang (ORCID: https://orcid.org/0000-0001-8152-0750)
- Jingjia Wang (ORCID: https://orcid.org/0000-0003-1556-9315)
- Yi‐Da Tang (ORCID: https://orcid.org/0000-0002-9712-803X)
- Jiaming Ji (ORCID: https://orcid.org/0009-0000-6385-8141)
- Xuliang Wang (ORCID: https://orcid.org/0000-0001-6520-6948)
- Xiangyu Yan (ORCID: https://orcid.org/0000-0002-1496-0358)
- Da Liu (ORCID: https://orcid.org/0000-0003-0678-0039)
- Jingqian Liu (ORCID: https://orcid.org/0009-0008-8949-9691)
- Heng Zhang (ORCID: https://orcid.org/0009-0000-5148-0743)
- Mingqi Zheng (ORCID: https://orcid.org/0000-0002-4300-0209)
- Yaodong Yang (ORCID: https://orcid.org/0000-0001-8132-5613)
- Xiangbin Meng (ORCID: https://orcid.org/0000-0002-4252-7869)
- Chunli Shao (ORCID: https://orcid.org/0000-0001-6366-1285)
- Yuan-geng-shuo Wang (ORCID: https://orcid.org/0009-0008-9709-9954)
- Hua Xu (ORCID: https://orcid.org/0009-0001-4243-7943)
- Wenyao Wang (ORCID: https://orcid.org/0000-0001-9897-2761)
- Jun Gao (ORCID: https://orcid.org/0000-0002-8599-4969)
- Jiarong Li (ORCID: https://orcid.org/0000-0003-0549-5551)
Institutions
- Hebei Medical University (CN)
- Tianjin University (CN)
- Hefei University of Technology (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Hong Kong University of Science and Technology (HK)
- Peking University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- China Telecom (China) (CN)
- Peng Cheng Laboratory (CN)
- Peking University Third Hospital (CN)
- First Affiliated Hospital of Hebei Medical University (CN)
- China Telecom (CN)
- University of Reading (GB)
- University of Hong Kong (HK)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-09-10
- DOI
- https://doi.org/10.2196/59069
- Citations
- 82
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 9.86