NCT07532538Recruiting
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions: A Multidimensional Feature Study Integrating Demographics and Clinical Symptomatology
Source: ClinicalTrials.gov · Last updated 2 Sept 2026
Brief summary (registry, in English)
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.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 3000 (estimated)
- First submitted
- 5 Apr 2026
- Start date
- 30 Apr 2026
- Primary completion date
- 30 Nov 2028
- Lead sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
- Diseases
- Head and neck cancer
- NCT number
- NCT07532538
What you commit to
- Study type: Observational
- Planned participants: 3000
- From 30 Apr 2026 to the primary completion date, 30 Nov 2028
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Refusal to sign the informed consent form. Incomplete clinical data. Known diagnosis of other head and neck malignancies (thyroid cancer, malignant parotid tumors, etc.
Who the study is looking for
- Age ≥ 18 years old. Patients with complete clinical data information and laryngoscopic images.
Age in the registry: 18 years to 100 years · Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Nanjing Drum Tower hospital Coordinator of this site? Confirm its status | Nanjing | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.