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

NCT07532538 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2026-04-16

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Taikang Xianlin Drum Tower Hospital

    collaborator UNKNOWN

  • Zhongda Hospital

    collaborator OTHER

  • Affiliated Cixi Hospital of Wenzhou Medical University

    collaborator OTHER

  • Changzhou Fourth People's Hospital

    collaborator UNKNOWN

  • Nanjing Tongren Hospital

    collaborator OTHER

  • Nanjing Children's Hospital

    collaborator OTHER

  • Gansu Provincial Maternal and Child Health Care Hospital

    collaborator OTHER

  • Shanghai Putuo District People's Hospital

    collaborator UNKNOWN

  • Wuxi Huishan District People's Hospital

    collaborator UNKNOWN

  • Fengyang County Hospital of Traditional Chinese Medicine

    collaborator UNKNOWN

  • Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine

    collaborator UNKNOWN

  • The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-04-30
Primary Completion
2029-11-30
Completion
2030-11-30

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07532538 on ClinicalTrials.gov