AI Avatar-Delivered Ear Nose Throat (ENT) Induction: A Pilot Feasibility Study of Confidence and Acceptability

Abstract

BACKGROUND: Junior doctors in otolaryngology (ENT) often start with varied prior experience, making effective induction essential. Artificial intelligence (AI) avatars are a novel method for delivering standardised educational content. This study evaluated whether an AI avatar-delivered ENT induction course could improve trainee confidence and explored participant perceptions. METHODS: A modular online induction course was developed using AI-generated video avatars (HeyGen platform; HeyGen Inc., Santa Clara, CA, USA). Thirty junior doctors at a tertiary hospital completed the course and rated their confidence in seven ENT skills before and after training on a 10-point Likert scale. Post-course surveys assessed clarity, willingness to use AI in the future, and comparisons with traditional teaching. RESULTS: <0.001), with large effect sizes. Similar gains were seen in triaging referrals and airway management. The avatars were generally rated clear (mean 7.8/10). Over half (57%) were willing to undertake further AI courses, 30% were unsure, and 13% were unwilling. Most (67%) reported no difference in overall learning compared with traditional methods, while 20% rated AI less effective and 13% reported enhancement. For retention, 70% reported no change, 13% improvement, and 17% decline. CONCLUSIONS: An AI avatar-delivered ENT induction course significantly improved self-reported confidence and was broadly acceptable, though not universally preferred. Most trainees perceived little difference in learning or retention compared with traditional teaching. These findings support AI avatars as a feasible adjunct for induction training, warranting further evaluation with larger, standardised cohorts and objective outcomes.

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