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Multimodal Data-assisted Primary Screening for Allergic Rhinitis Based on Voice Recognition and Face Recognition

NCT06474923 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1500

Last updated 2025-09-16

No results posted yet for this study

Summary

Collect facial images and voice and audio of patients with rhinitis in the department of otolaryngology, and collect the examination results of patients with rhinitis who have received electronic fiber nasopharyngoscopy. Skin prick test to a standard panel of aeroallergens or by using the ImmunoCAP Phadiatop test for detecting immunoglobulin E antibodies against various common inhalant allergenswere detected, and a prediction model for the type of rhinitis was finally established.

Conditions

  • Body Image
  • Speech Sound Disorder

Interventions

BEHAVIORAL

Face image and voice audio

Take photographs of the front, left and right side of the patient's face. Recording the patient's voice during doctor-patient communication.

Sponsors & Collaborators

  • Zheng Liu

    lead OTHER

Principal Investigators

  • Zheng Liu, Doctor · Tongji Hospital

Eligibility

Min Age
8 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-01
Primary Completion
2024-12-31
Completion
2025-06-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06474923 on ClinicalTrials.gov