首页|人工智能大模型在医疗健康领域应用的研究

人工智能大模型在医疗健康领域应用的研究

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医疗健康领域拥有丰富的多模态数据和开放多样的医疗健康场景,是人工智能大模型最具有应用前景的领域之一.基于基础硬件、设备与模型框架的人工智能大模型通过医疗文本、医疗影像或医疗多模态数据集开展预训练、微调、评估优化和利用进而完成模型构建.医疗健康大模型在辅助诊疗、医学影像研究、健康管理、生物医学研究、药物研发、医学考试与教育等领域获得成功应用,但同时也迎来数据安全风险、道德伦理风险和技术风险等挑战.为规范人工智能大模型技术的发展,部分国家制定相关法律法规和标准指南.医疗健康领域与人工智能的合作机遇与挑战并存,人工智能大模型技术仍需不断优化发展,推动与医疗健康领域的更深度融合.
Research on the application of artificial intelligence large models in the field of medical and health care
The medical and health field has abundant multimode data and open and diverse medical health scenarios,which is one of the most promising fields for the application of artificial intelligence large models.Based on basic hardware,equipment,and model frameworks,the artificial intelligence model is pre-trained,fine-tuned,evaluated,optimised,and utilized through medical texts,medical images,or medical multimode datasets to complete model construction.The large medical and health model has been successfully applied in the fields of auxiliary diagnosis and treatment,medical imaging research,health management,biomedical research,drug research,medical examination and education,but it also faces challenges such as data security risks,moral and ethical risks,and technical risks.In order to regulate the development of artificial intelligence large model technology,some countries have formulated relevant laws,regulations,and standard guidelines.Opportunities and challenges coexist in the field of medical and health cooperation with artificial intelligence,and artificial intelligence large model technology still needs to be continuously optimised and developed to promote deeper integration with the medical and health field.

Artificial intelligenceLarge modelHealthcareSmart application

马傲、葛小玲

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复旦大学附属儿科医院信息与大数据中心,上海 201102

人工智能 大模型 医疗健康 智慧应用

2024

中国现代医生
中国医学科学院

中国现代医生

影响因子:1.571
ISSN:1673-9701
年,卷(期):2024.62(33)