摘要
介绍了大型语言模型的研究现状,阐述了生成式预训练转换器模型的关键技术,综述了大型语言模型在医疗教育、临床疾病诊断与治疗、医患交流中的实际应用现状,指出了有效监管、伦理和法律、专业化及逻辑一致性是大型语言模型在医疗领域应用中面临的挑战,并展望了未来的发展方向。
The research status of large language models was introduced,and the key techniques of generative pre-trained converter models were described.The application status of large language models was reviewed in medical education,clinical diagnosis and treatment and doctor-patient communication.The challenges faced by large language models were expounded in effective regulation,ethics and law,specialization and logical consistency.The future prospects of large language models were pointed out.
作者
林岚
武雨桐
LIN Lan;WU Yu-tong(Department of Biomedical Engineering,College of Chemistry and Life Sciences,Beijing University of Technology,Beijing 100124,China)
出处
《医疗卫生装备》
CAS
2024年第8期102-109,共8页
Chinese Medical Equipment Journal
基金
国家自然科学基金项目(81971683)。
关键词
大型语言模型
医疗领域
人工智能
large language model
medical field
artificial intelligence