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

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorThe Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

About this trial

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.

Eligibility criteria

Qualifiers

None

Disqualifiers

None

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

3,000 Participants
are grouped into 2 trial groups

Sponsors and collaborators

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Lead sponsor

Taikang Xianlin Drum Tower Hospital

Collaborator

Zhongda Hospital

Collaborator

Affiliated Cixi Hospital of Wenzhou Medical University

Collaborator

Changzhou Fourth People's Hospital

Collaborator

Nanjing Tongren Hospital

Collaborator

Nanjing Children's Hospital

Collaborator

Gansu Provincial Maternal and Child Health Care Hospital

Collaborator

Shanghai Putuo District People's Hospital

Collaborator

Wuxi Huishan District People's Hospital

Collaborator

Fengyang County Hospital of Traditional Chinese Medicine

Collaborator

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

Collaborator