Artificial Intelligence-Assisted Training for Novice Physicians in Electronic Nasopharyngolaryngoscopy

NCT07726641 | Not Yet Recruiting

• 1 other identifier: 2025-802a
• Study Type: interventional
• Target: 138
• Locations: 1 country
• Sites: 1

Brief Summary

This study aims to evaluate whether an artificial intelligence-assisted monitoring system can improve the training of novice physicians in electronic nasopharyngolaryngoscopy. The study will compare AI-assisted training with conventional training in terms of post-training examination performance.

Conditions

Laryngoscopy; Training

Outcome Measures

Primary Outcomes (1)

• Post-training procedural performance score

  Each post-training procedure will be video recorded and assessed by blinded expert raters using Flexible Pharyngo-Laryngoscopy Assessment Tool (FLEXPAT). The scale includes 9 mandatory items, each scored from 1 to 5, with a total score ranging from 9 to 45 points. A higher score indicates better procedural performance.

  During each post-training assessment procedure.

Secondary Outcomes (5)

• Anatomical Site Coverage Rate

  During each post-training assessment procedure.

• Examination Time

  During each post-training assessment procedure.

• Image Quality Score

  During each post-training assessment procedure.

• Patient Comfort

  Immediately after or during each post-training assessment procedure.

• Trainee Satisfaction with the AI System

  Within 2 weeks after completion of the training phase

Study Arms (2)

AI-Assisted Training Group

EXPERIMENTAL

Novice physicians in this group will receive additional assistance from an AI-assisted monitoring system during electronic nasopharyngolaryngoscopy training. The AI system provides real-time monitoring and visual prompts for anatomical site coverage during the examination.

Device: Artificial Intelligence-Assisted Monitoring System for Electronic Nasopharyngolaryngoscopy

Conventional Training Group

NO INTERVENTION

Novice physicians in this group will receive conventional theoretical and practical training in electronic nasopharyngolaryngoscopy without real-time AI assistance during training.

Interventions

Artificial Intelligence-Assisted Monitoring System for Electronic Nasopharyngolaryngoscopy DEVICE

The AI-assisted monitoring system analyzes electronic nasopharyngolaryngoscopy video in real time and provides prompts regarding anatomical sites that have been examined. Examined anatomical sites are displayed on the screen, and the system provides information such as examination time and number of anatomical sites covered. The system is used as an adjunctive training tool and does not replace the clinical judgment of supervising physicians.

AI-Assisted Training Group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Aged 18 years or older.
• Otorhinolaryngology residents or standardized residency training physicians.
• No prior independent experience in electronic nasopharyngolaryngoscopy.
• Holding both a physician qualification certificate and a physician practice certificate registered at the study institution.

You may not qualify if:

• Previous participation in other endoscopy training studies.
• Inability to complete the required continuous training period
• Aged 18 years or older.
• Male or female.
• Clinical need for electronic nasopharyngolaryngoscopy.
• Pregnancy.
• History of allergy to topical anesthetics such as tetracaine or lidocaine.
• Language or communication barriers.
• Anatomical abnormalities, such as laryngeal stenosis, or prior nasopharyngeal or laryngeal surgery.
• Inability to tolerate the examination position.
• Any condition judged by the investigator to make the participant unsuitable for the study.

Sponsors & Collaborators

• Ruijin Hospital: lead

Study Sites (1)

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai

Shanghai, China

Location

Central Study Contacts

Bin Ye, MD PhD

CONTACT

+8615216616895; aydyebin@126.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 1, 2026
• First Posted: July 24, 2026
• Study Start: July 1, 2026
• Primary Completion (Estimated): December 31, 2026
• Study Completion (Estimated): February 28, 2027
• Last Updated: July 24, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)