通讯作者: 葛小玲, xlge@fudan.edu.cn

DOI：10.12201/bmr.202408.00039

Application of Artificial Intelligence Large Models in Healthcare:a Survey

• 摘要：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,同时迎来数据安全风险、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要不断优化发展,推动与医疗健康领域的更深度融合。

  关键词： 人工智能; 大模型 医疗健康; 智慧应用; 

   

  Abstract: The healthcare field has abundant multimodal data and open and diverse medical and health scenarios, which is one of the most promising fields for the application of artificial intelligence large models. Based on hardware, equipment and model framework, the AI large models utilizes medical text, medical image or medical multimodal datasets to carry out pre-training, fine-tuning, evaluation, optimization and utilization, thus achieves model building. The healthcare AI large model has been successfully applied in auxiliary diagnosis and treatment, medical imaging research, health management, biomedical research, drug research, medical examination and education, etc.However its also challenged by data security risks, moral and ethical risks, and technical risks. To regularize the development of AI large model technology, Some countries have formulated relevant laws, regulations, and standards . Opportunities and challenges coexist in healthcare cooperation with artificial intelligence, and artificial intelligence large model technology still needs to be continuously optimized and developed to promote deeper integration with the healthcare field.

  Key words: artificial intelligence; large model; healthcare; intelligent application

  提交时间：2024-08-20

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2024-08-08	bmr.202408.00039V1	下载

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