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A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data
Sponsor: Nanfang Hospital, Southern Medical University
Summary
Based on multimodal data, we establish a dynamic deep learning model to conduct prognostic risk assessment for patients and recommend the 'most suitable' treatment/follow-up regimen after radical treatment, assisting clinicians in improving homogenized evaluation levels and achieving individualized precision therapy, thereby providing scientific evidence for the currently widely debated selection of postoperative adjuvant therapy in locally advanced head and neck squamous cell carcinoma patients.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
571
Start Date
2025-08-15
Completion Date
2028-12
Last Updated
2026-04-16
Healthy Volunteers
No
Locations (1)
510000
Guangzhou, China