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Recruiting
NCT07532538
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions
Conditions: Hypopharyngeal Cancer, Laryngeal Cancer, Head and Neck Cancer
Sex: All
Ages: 18 Years – 100 Years
Healthy volunteers: Yes
Enrollment: 3000
Sponsor: The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Location: Nanjing Drum Tower Hospital Nanjing Jiangsu
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 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.
Source: ClinicalTrials.gov (NCT07532538). StuddyBuddy aggregates publicly available trial information.
