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Research and application of otorhinolaryngological endoscopic image automatic analysis system guided by multimodal learning

Research and application of otorhinolaryngological endoscopic image automatic analysis system guided by multimodal learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116517
Enrollment
Unknown
Registered
2026-01-12
Start date
2026-01-15
Completion date
Unknown
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ear-related diseases

Interventions

Trial group:None

Sponsors

Children's Hospital,Zhejiang University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
3 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. ENT patients aged 3 years and above; 2. Patients with complete medical records and relevant endoscopic images; 3. Patients with necessary MRI or CT imaging for auxiliary diagnosis; 4. Patients diagnosed with common ENT diseases.

Exclusion criteria

Exclusion criteria: 1. Patients who cannot provide complete medical records and imaging data; 2. Patients who have recently undergone ENT surgery or treatment that may affect the current disease assessment; 3. Extremely poor image quality (severe blurring, obstruction, overexposure); 4. Incomplete data or missing labels; 5. Patients with severe underlying diseases or complications that interfere with imaging interpretation.

Design outcomes

Primary

MeasureTime frame
accuracy;sensitivity;specificity;;;AUC;

Countries

China

Contacts

Public ContactYong Fu

Children's Hospital,Zhejiang University School of Medicine

fyent@163.com+86 571 8667 0079

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026