Clinical Trial

A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions

Name: A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions — clinical trial record (NCT07532538)
Creator: DataLookout
License: https://creativecommons.org/licenses/by/4.0/

Study acronym: ML-HNC-Risk

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Summary

This study aims to develop and validate a clinical prediction model for the risk of head and neck cancerous lesions using deep learning combined with AI algorithms, based on multi-center clinical data.

Trial Details

NCT Number	NCT07532538
Lead Sponsor	The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School Collaborators: Taikang Xianlin Drum Tower Hospital, Zhongda Hospital, Affiliated Cixi Hospital of Wenzhou Medical University, Changzhou Fourth People's Hospital, Nanjing Tongren Hospital, Nanjing Children's Hospital, Gansu Provincial Maternal and Child Health Care Hospital, Shanghai Putuo District People's Hospital, Wuxi Huishan District People's Hospital, Fengyang County Hospital of Traditional Chinese Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine
Conditions	Hypopharyngeal Cancer, Laryngeal Cancer, Head and Neck Cancer
Enrollment	3,000 participants
Start Date	2026-04-30
Primary Completion	2029-11-30 (estimated)
Study Completion	2030-11-30 (estimated)
Updated on ClinicalTrials.gov	2026-04-16