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

Sponsor
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Study ID
NCT07532538
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 100 Years
Healthy Volunteers
Accepted

Study Details

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 Dates

First listed
Apr 16, 2026
Start date
Apr 30, 2026
Status verified
Apr 2026
Primary completion
Nov 30, 2029
Completion
Nov 30, 2030

Study Design

Enrollment
3,000 participants (estimated)

Arms

  • Arm: Patients with head and neck malignancies
    Comprised patients with histopathologically confirmed head and neck malignant lesions, primarily including laryngeal and hypopharyngeal carcinomas.
  • Arm: Patients without head and neck malignancies
    Consisted of patients absent of malignant findings, encompassing individuals with normal laryngeal anatomy and those diagnosed with benign vocal fold lesions (e.g., polyps, cysts, and nodules).

Primary Outcome Measure

Laryngoscopic report diagnosis [ Time Frame: During the first outpatient visit (Day 1) ]

Central Contacts

Find similar trials

Nationwide
Head and neck cancer trialsOncology trialsENT trials

Related Studies