Not_yet_recruitingNCT07532538

A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions: A Multidimensional Feature Study Integrating Demographics and Clinical Symptomatology

Sponsor: The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Trial Details

Condition	Hypopharyngeal Cancer, Laryngeal Cancer, Head and Neck Cancer
Status	Not_yet_recruiting
Participants	3,000
Est. Completion	30 Nov 2029
Last Updated	16 Apr 2026

Primary Outcome

Laryngoscopic report diagnosis

Eligibility Criteria

Inclusion Criteria

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.

Trial Sites

Countries

China

View Registry Entry

Related Analysis

International Study Develops AI-Enhanced Risk Prediction Model for Head and Neck Cancers — Implications for Early Detection

A major international study is developing AI-enhanced risk prediction models for head and neck cancers using clinical data from 3,000 patients. The research could revolutionise early detection and diagnostic accuracy for laryngeal and hypopharyngeal cancers.

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