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Research and Application of an Intelligent Auxiliary Diagnosis System for Otorhinolaryngological Diseases Based on Artificial Intelligence Technology

Research and Application of an Intelligent Auxiliary Diagnosis System for Otorhinolaryngological Diseases Based on Artificial Intelligence Technology

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123060
Enrollment
Unknown
Registered
2026-04-21
Start date
2026-01-26
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Common ear, nose, and throat diseases, including but not limited to otitis externa, otitis media, nasopharyngeal carcinoma, chronic rhinitis, sinusitis, pharyngolaryngitis, and tonsillitis.

Interventions

Otolaryngological Disease Observation Group:None

Sponsors

The First Affiliated Hospital of Xi'an Jiaotong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
1 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Patients who undergo routine otolaryngological examinations and have complete endoscopic image records. 2.The clinical diagnosis corresponding to the images is confirmed by otolaryngologists. 3.Age >= 1 year. 4.Prospective subjects have signed a written informed consent form.

Exclusion criteria

Exclusion criteria: 1.Severely unqualified image quality (e.g., obviously blurred, occluded, or overexposed). 2.Missing key imaging or diagnostic information. 3.Coexisting severe underlying diseases or conditions that significantly interfere with image interpretation. 4.Definitively diagnosed primary neurological diseases that may significantly affect neuroimaging analysis results (applicable only to the MRI/EEG subsample).

Design outcomes

Primary

MeasureTime frame
Area Under the Receiver Operating Characteristic Curve (AUC);Specificity;Sensitivity;

Secondary

MeasureTime frame
Accuracy;F1-score;

Countries

China

Contacts

Public ContactZhuonan Wang

The First Affiliated Hospital of Xi'an Jiaotong University

wangzhuonan424@126.com+86 29 8532 4741

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026