A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data

Enrolling by invitation

Conditions studied: Deep Learning, Head & Neck Squamous Cell Carcinoma

In brief

Based on multimodal data, the investigators 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 facts

Study ID
NCT07532928
Run by
Nanfang Hospital, Southern Medical University
People needed
571
Starts
2025-08-15
Expected to finish
2028-12-01
Last updated by the study team
2026-07-20

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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