Medical Imaging Foundation Models:Paradigm Innovation in Precision Oncology
10.12290/xhyxzz.2025-0328
- VernacularTitle:医学影像大模型:肿瘤精准诊疗的范式革新
- Author:
Zaiyi LIU
1
;
Zhihe ZHAO
1
;
Zhenwei SHI
1
Author Information
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
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
large models;
foundation models;
data security;
clinical interpretability
- From:
Medical Journal of Peking Union Medical College Hospital
2025;16(4):805-811
- CountryChina
- Language:Chinese
-
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.
