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Artificial intelligence-assisted diagnosis of laryngeal cancer using laryngoscopic images

Deep Learning-Based System for Auxiliary Diagnosis of Laryngeal Cancer Using Multimodal Laryngoscopic Images - M-Larynx-AI

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126503
Enrollment
Unknown
Registered
2026-06-10
Start date
2026-06-15
Completion date
Unknown
Last updated
2026-06-15

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

Conditions

Laryngeal cancer

Interventions

Gold Standard:Pathology result
Index test:Deep Learning-Based System for Auxiliary Diagnosis of Laryngeal Cancer Using Multimodal Laryngoscopic Images

Sponsors

Cancer Hospital, Chinese Academy of Medical Sciences
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Patients who underwent nasopharyngolaryngoscopy and had abnormal laryngeal findings. 2. Laryngeal lesions with both white-light imaging and narrow-band imaging photographs. 3. Images of sufficient quality for image analysis and model development or validation. 4. Laryngeal lesions with definite pathological diagnosis.

Exclusion criteria

Exclusion criteria: Missing key clinical information required for group assignment or reference standard definition.

Design outcomes

Primary

MeasureTime frame
Area under the receiver operating characteristic curve;sensitivity;specificity;Accuracy;—

Countries

China

Contacts

Public ContactXiaoguang Ni

Cancer Hospital, Chinese Academy of Medical Sciences

nixiaoguang@126.com+86 10 8778 7606

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 21, 2026