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

Starting soon

Conditions studied: Hypopharyngeal Cancer, Laryngeal Cancer, Head and Neck Cancer

In brief

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.

Key facts

Study ID

NCT07532538

Run by

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

People needed

3000

Starts

2026-04-30

Expected to finish

2030-11-30

Last updated by the study team

2026-04-16

Who can join

Age: 18 and older, up to 100. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Age ≥ 18 years old. Patients with complete clinical data information and laryngoscopic images.

You may not qualify if…

• Refusal to sign the informed consent form. Incomplete clinical data. Known diagnosis of other head and neck malignancies (thyroid cancer, malignant parotid tumors, etc.

Where it is running

• Nanjing Drum Tower Hospital — Nanjing, Jiangsu, China

Full record on ClinicalTrials.gov

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