Clinical trial · Observational
AI System for Anatomic Recognition & Lesion Detection in Nasopharyngolaryngoscopy: A Prospective Study
Development and Validation of an Artificial Intelligence System for Anatomic Site Recognition and Lesion Detection Based on Electronic Nasopharyngolaryngoscopic Images: A Prospective Multicenter Study
NCT07326358CI-TRIAL-00100442recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
An artificial intelligence-assisted system is trained and validated by collecting nasopharyngolaryngoscopy images from patients.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Laryngeal Disease | — | UNRESOLVED | — |
| Nasopharyngeal Neoplasms | Nasopharyngeal Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Diagnostic | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Model training and validation cohorts
- description
- A deep learning model is trained using the training dataset and validated with the internal validation set.
- interventionNames
- Other: Diagnostic
- label
- Prospective test cohort
- description
- Patients are prospectively enrolled, nasopharyngolaryngoscopy examination videos are collected, and the video data are processed to form a prospective test dataset, which is then used for testing.
- interventionNames
- Other: Diagnostic
Primary outcomes (2)
- measure
- performance of lesion detection
- timeFrame
- Within 3 months after the completion of prospective data collection
- description
- The area under the receiver operating characteristic curve (ROC-AUC) of the model for abnormal lesion detection
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Age ≥ 18 years; * Underwent standard electronic nasopharyngolaryngoscopy; * Patients who underwent biopsy sampling have a clear pathological diagnosis; * Signed a written informed consent form. Exclusion Criteria: * Image quality is substandard with severe motion artifacts; * Lesion images are unclear and incomplete.
References
Publications (0)
Data not yet available
No reference posted for this study.