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Abstract Details

Can AI-generated Simulated Patients be a Tool to Empower 好色先生 in Headache Medicine: A Pilot Study
Headache
P9 - Poster Session 9 (5:00 PM-6:00 PM)
15-002
To evaluate perceptions of AI and whether AI generated patient simulated chatbots can improve a learners’ ability to diagnose primary headache disorders.

Headache medicine remains underrepresented throughout medical education despite its high prevalence and significant disability burden. Headache diagnosis is systematically guided by the strict ICHD3, which allows for an algorithmic teaching approach. 

AI has broad implications in advancing medicine from a patient centered and medical education standpoint.  AI chatbots are tools that can simulate a standardized patient encounter enabling learners at all levels to practice history taking, clinical reasoning and build diagnostic confidence through interactive dialogue.  This study evaluated medical learners' perceptions of AI in medical education and assessed whether AI-generated simulated patients enhance confidence in diagnosing primary headache disorders.
We conducted an educational interventional study utilizing AI-generated simulated patient chatbots. These chatbots were developed with embedded headache expert case prompts and utilized Claude Sonnet 3.5.  Participants underwent an initial pre-survey (Likert: 1=Strongly disagree, 10=Strongly agree).  After the pre-survey, access to the simulated patients was given with no limit to time or number of interactions.  Following completion subjects performed a post-survey.
Nine participants completed the pre-survey and six completed both surveys. Post-AI chat ratings were significantly higher than pre-AI chat expectations for directly comparable items (Mann-Whitney U = 47.5, p = .016, r = .62). Participants ratings were consistently high (medians 8.5-10.0), including AI-enhanced education excitement (8.3), belief in AI's future role in medical education (8.6), effectiveness for improving diagnostic skills in headache medicine (9.5), and realism of simulated patient interactions (8.5).
AI patient simulated chatbots can enhance a learner’s confidence in diagnosing primary headache disorders.  Participants expressed interest in AI integration and comfort with AI educational tools post intervention.  This pilot study demonstrated a promising approach to improve the teaching of underrepresented topics in medical education.
Authors/Disclosures
Natalia Murinova, MD, FAAN (University Of Washington)
PRESENTER 		Dr. Murinova has nothing to disclose.
Ian Hakkinen, MBBS (Evergreen Health) Dr. Hakkinen has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Abbvie. Dr. Hakkinen has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Pfizer. Dr. Hakkinen has a non-compensated relationship as a Co-Founder with MigraLearn.AI that is relevant to AAN interests or activities.
Daniel Krashin, MD (Seattle VA) Dr. Krashin has nothing to disclose.
Jay Dave, DO Dr. Dave has nothing to disclose.
Pengfei Zhang, MD Dr. Zhang has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Alder. Dr. Zhang has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Boardvitals . Dr. Zhang has received stock or an ownership interest from Cymbeline. Dr. Zhang has received intellectual property interests from a discovery or technology relating to health care.
Mofei M. Lu, MD (Rutgers-Robert Wood Johnson Medical School) Dr. Lu has nothing to disclose.
Ami Cuneo, MD (University of Washington) Dr. Cuneo has nothing to disclose.
Mairéad Sullivan Dr. Sullivan has nothing to disclose.
Markku Hakkinen, PhD An immediate family member of Dr. Hakkinen has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Abbvie. An immediate family member of Dr. Hakkinen has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Pfizer. Dr. Hakkinen has a non-compensated relationship as a Co-Founder and Advisor with MigraLearn.ai that is relevant to AAN interests or activities. An immediate family member of Dr. Hakkinen has a non-compensated relationship as a Co-Founder with MigraLearn.ai that is relevant to AAN interests or activities.