ASiT Innovation Summit E-Posters
Amna Qamar, Robert Maweni, Amy Smith, James Brock, Rana Anss, Charles Kimberley, Claire Joyner, Francesca Solari, Tariq Yasin, Arwel Poacher, Bisher Tulimat, Omar Kiwan, Mohammed Al-Kalbani, Amr Musa, Omar Edlebi, Tyler Munro, Safa Baqar, Adel Hamed, Mohammed Elsaiegh

TL;DR
An AI avatar improved engagement in medical training, while newer AI models showed better accuracy in medical tasks like writing clinic letters and generating citations.
Contribution
Developed an interactive AI avatar for medical training and evaluated next-gen LLMs and ScholarGPT for medical accuracy.
Findings
AI avatar increased engagement and satisfaction in ENT resident training.
GPT-4 and ChatGPT outperformed GPT-3 in generating accurate clinic letters and management plans.
ScholarGPT achieved 100% accuracy in generating medical references compared to ChatGPT.
Abstract
Traditional induction modules for resident doctors starting ENT rotations are passive, offering limited interaction. We developed an interactive, speech-driven AI avatar induction module for managing epistaxis and evaluated its impact on trainees’ confidence and satisfaction. We aim to determine whether participant engagement and satisfaction is higher with interactive AI avatars. A prospective single-group study recruited twelve resident doctors, who completed baseline surveys rating their self-confidence and satisfaction with prior induction methods. Following a 10-minute interactive avatar-led epistaxis tutorial and structured viva, post-module surveys reassessed confidence and measured satisfaction with the interactive experience. Differences between pre- and post-course survey data were assessed using the Wilcoxon rank-sum test, with p < 0.05 deemed significant. All participants…
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Taxonomy
TopicsDiverse Scientific and Economic Studies · Academic Publishing and Open Access · Academic Writing and Publishing
