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

NCT07532538 · tracked via the Priya Life Science China tracker

Sponsor

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Phase

Observational

Started

2026-04-30

Last updated

2026-09-02

Condition(s) studied

Hypopharyngeal CancerLaryngeal CancerHead and Neck Cancer

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.

Eligibility

Sex

ALL

Min age

18 Years

Max age

100 Years

Healthy volunteers

Accepted

Inclusion Criteria: Age ≥ 18 years old. Patients with complete clinical data information and laryngoscopic images. Exclusion Criteria: Refusal to sign the informed consent form. Incomplete clinical data. Known diagnosis of other head and neck malignancies (thyroid cancer, malignant parotid tumors, etc.

Primary outcome measure(s)

Laryngoscopic report diagnosis — During the first outpatient visit (Day 1)
those data will be collected via medical history records，"The laryngoscopic report diagnosis" primarily consists of detailed diagnostic classifications for various vocal fold and laryngeal pathologies.

Trial sites (1)

Facility	City	Region	Status
Nanjing Drum Tower Hospital	Nanjing	Jiangsu	Recruiting

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Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07532538 on ClinicalTrials.gov ↗ ← All trials in China