Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer

RecruitingOBSERVATIONAL
Enrollment

300

Participants

Timeline

Start Date

January 1, 2025

Primary Completion Date

December 30, 2025

Study Completion Date

December 30, 2025

Conditions
T1 Gastric Cancer Lymph Node Metastasis Early Gastric Cancer Artificial Intelligence-Assisted Diagnosis Multimodal Data Integration
Interventions
DIAGNOSTIC_TEST

Multimodal Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in T1 Gastric Cancer

"This intervention involves the use of a custom-built artificial intelligence (AI) diagnostic model that integrates multimodal data-including clinical variables, histopathological features, and imaging data-to predict lymph node metastasis in patients with T1-stage gastric cancer.~The model provides risk probability scores and classification outputs that assist physicians in diagnostic decision-making.~The AI system will be compared with physician performance at different levels of experience (resident, attending, senior) to assess its impact on diagnostic accuracy and clinical decision support."

Trial Locations (1)

050011

RECRUITING

the Fourth Hospital of Hebei Medical University, Shijiazhuang

All Listed Sponsors
lead

Qun Zhao

OTHER