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A Hierarchical Multi-modal AI Framework for Pathological and Genetic Subtyping of Lung Cancer Based on PET/CT Imaging
Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
Summary
PET/CT imaging and clinical information (age, gender, smoking history, family history of cancer, history of present illness, and several tumor biomarkers, etc.) were used to establish a hierarchical multi-modal AI framework for pathological and genetic subtyping of lung cancer
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
5500
Start Date
2024-08-01
Completion Date
2027-08-01
Last Updated
2026-03-11
Healthy Volunteers
No
Conditions
Interventions
PET imaging analysis, data mining, and AI model developing
PET imaging analysis, data mining, and AI model developing
Locations (9)
Guangdong Second Provincial General Hospital
Guangzhou, Guangdong, China
Wuhan Tongji Hospital
Wuhan, Hubei, China
Zhongnan Hospital
Wuhan, Hubei, China
Northern Jiangsu People's Hospital
Yangzhou, Jiangsu, China
First Hospital of China Medical University
Shenyang, Liaoning, China
West China Hospital
Chengdu, Sichuan, China
The First Affiliated Hospital of Zhejiang Chinese Medical University
Hangzhou, Zhejiang, China
Department of Nuclear Medicine and PET/CT Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, China
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, China