Navigation and quantitative evaluation strategies for tumor fluorescent surgery based on arti-ficial intelligence and medical big data
10.3760/cma.j.cn115610-20240304-00142
- VernacularTitle:基于人工智能和医疗大数据的肿瘤荧光手术导航与量化评估策略
- Author:
Jie TIAN
1
;
Kun WANG
;
Di DONG
;
Zhenyu LIU
;
Zeyu ZHANG
;
Mengjie FANG
Author Information
1. 北京航空航天大学医学科学与工程学院大数据精准医疗高精尖创新中心，北京 100191
- Keywords:
Artificial intelligence;
Fluorescence molecular imaging;
Surgical navigation;
Medical imaging big data;
Radiomics
- From:
Chinese Journal of Digestive Surgery
2024;23(4):536-542
- CountryChina
- Language:Chinese
-
Abstract:
The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in-depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.
