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医学影像大模型:肿瘤精准诊疗的范式革新

刘再毅 赵致禾 石镇维

协和医学杂志2025,Vol.16Issue(4):805-811,7.
协和医学杂志2025,Vol.16Issue(4):805-811,7.DOI:10.12290/xhyxzz.2025-0328

医学影像大模型:肿瘤精准诊疗的范式革新

Medical Imaging Foundation Models:Paradigm Innovation in Precision Oncology

刘再毅 1赵致禾 1石镇维1

作者信息

  • 1. 南方医科大学附属广东省人民医院(广东省医学科学院)放射科,广州 510080||广东省医学影像智能分析与应用重点实验室,广州 510080
  • 折叠

摘要

Abstract

Medical imaging large-scale models demonstrate broad application prospects in the field of tumor diagnosis and treatment.Their powerful high-dimensional feature extraction and data analysis capabilities have brought revolutionary breakthroughs to precision oncology,driving the transformation of diagnostic and therapeutic paradigms.However,current research in this field still faces numerous challenges and technical bot-tlenecks.Based on the research background of artificial intelligence(AI)large-scale models,this article sys-tematically reviews the current research status of medical imaging large-scale models from three key dimensions:the construction of large-scale medical imaging datasets,optimization of large-scale model algorithms,and com-putational resource requirements.Furthermore,it elaborates on the application scenarios of these models in pre-cision oncology and provides a forward-looking perspective on their future development.The aim is to offer prac-tical guidance for advancing precision diagnosis and treatment of tumors.

关键词

人工智能/大模型/基础模型/数据安全/临床可解释性

Key words

artificial intelligence/large models/foundation models/data security/clinical interpretability

分类

医药卫生

引用本文复制引用

刘再毅,赵致禾,石镇维..医学影像大模型:肿瘤精准诊疗的范式革新[J].协和医学杂志,2025,16(4):805-811,7.

基金项目

国家自然科学基金(82472062) (82472062)

国家自然科学基金区域创新发展联合基金(U22A20345) (U22A20345)

国家科技重大专项——四大慢病(2024ZD0531100,2024ZD0531101) National Natural Science Foundation of China(82472062) (2024ZD0531100,2024ZD0531101)

Regional Innovation and Development Joint Fund of National Natural Science Foundation of China(U22A20345) (U22A20345)

National Science and Technology Major Project for Noncommunica-ble Chronic Diseases(2024ZD0531100,2024ZD0531101) (2024ZD0531100,2024ZD0531101)

协和医学杂志

OA北大核心

1674-9081

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