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.
Electronic nasopharyngolaryngoscopy is an important diagnostic procedure in otorhinolaryngology, but its examination quality is highly dependent on the operator's experience. Novice physicians may have difficulty in systematically visualizing key anatomical regions, maintaining a clear field of view, and completing a standardized examination. Artificial intelligence-assisted monitoring systems may provide real-time feedback during endoscopic examination and help trainees improve anatomical site recognition and procedural completeness. This study is designed to evaluate the educational value of an AI-assisted monitoring system in the training of novice physicians performing electronic nasopharyngolaryngoscopy. Novice physicians will be assigned to different training approaches, including an AI-assisted training method and a conventional training method. During the training phase, participants will receive supervised practice, with or without the support of the AI-assisted monitoring system, depending on group allocation. Following the training period, participants will perform electronic nasopharyngolaryngoscopy under appropriate supervision. Their performance will be evaluated using recorded procedure data and expert assessment to compare outcomes between training approaches. Measures will be taken throughout the study to ensure patient safety under the guidance of experienced physicians.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
138
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.
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai
Shanghai, China
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.
Time frame: During each post-training assessment procedure.
Anatomical Site Coverage Rate
Time frame: During each post-training assessment procedure.
Examination Time
Time frame: During each post-training assessment procedure.
Image Quality Score
Image quality will be evaluated by professional raters across two dimensions based on the images captured during the procedure: preservation of anatomical sites and mucosal clarity. Each dimension is scored out of a maximum of 5 points, with a total combined score of 10 points.
Time frame: During each post-training assessment procedure.
Patient Comfort
Patient comfort will be evaluated based on clinical observation of examination-related discomfort, such as gag reflex, and categorized as good comfort, poor comfort, or very poor comfort.
Time frame: Immediately after or during each post-training assessment procedure.
Trainee Satisfaction with the AI System
Trainees in the AI-assisted training group shall complete a satisfaction questionnaire with a Likert-type scale to assess their experience using the AI-assisted monitoring system. The questionnaire consists of 10 survey items with five rating levels ranging from strongly disagree (1 point) to strongly agree (5 points).
Time frame: Within 2 weeks after completion of the training phase
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