Journal article
AI Avatar-Delivered Ear Nose Throat (ENT) Induction: A Pilot Feasibility Study of Confidence and Acceptability
- Abstract:
- BackgroundJunior 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.MethodsA 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.ResultsAll 30 participants completed pre- and post-course assessments. Confidence improved significantly across all domains (e.g., identifying normal endoscopic anatomy: 3.3 → 7.6, pConclusionsAn 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 799.2KB, Terms of use)
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- Publisher copy:
- 10.7759/cureus.94230
Authors
- Publisher:
- Springer
- Journal:
- Cureus: Journal of Medical Science More from this journal
- Volume:
- 17
- Issue:
- 10
- Pages:
- e94230
- Publication date:
- 2025-10-09
- Acceptance date:
- 2025-10-09
- DOI:
- EISSN:
-
2168-8184
- ISSN:
-
2168-8184
- Pmid:
-
41209936
- Language:
-
English
- Keywords:
- Pubs id:
-
2350325
- UUID:
-
uuid_cae224ba-9e85-4c03-baf2-6e970f6e79b6
- Local pid:
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pubs:2350325
- Source identifiers:
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3479560
- Deposit date:
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2025-11-18
- ARK identifier:
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- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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