Abstract

   BTFC travel award recipient

   Artificial intelligence systems provide risk-free training on
   realistically simulated patient cases and objective assessment of
   surgical technical skills. This randomized controlled study compared a
   real-time intelligent tutoring system in technical skills learning with
   human expert instructor-mediated training.

   METHODS: Ninety-eight medical students performed six simulated brain
   tumor resections. Participants were randomly allocated into
   (1)no-real-time feedback, (2)real-time intelligent instruction, and
   (3)in- person human instruction. All students performed the first
   repetition without receiving feedback (baseline). Group-1 received
   visual feedback only after each procedure based on expert benchmarks.
   Group-2 was instructed by the intelligent system in real-time. After
   each task, the students were shown their error-video clips generated by
   this system alongside expert-level demonstrations on how to improve.
   Group-3 was instructed by human instructors during the tasks. After
   each task, instructors summarized the areas of improvement and
   demonstrated correction techniques. Participant performance was scored
   by the intelligent system and also by blinded experts using OSATS
   scores. The performance score was compared within groups and between
   groups to compare learning. RESULTS: Compared to baseline performance,
   Group-2 and Group-3 significantly improved in the performance score by
   the third and second repetition, respectively (p<0.01, p=0.01). The
   between-groups comparison demonstrated that Group-2 scored
   significantly higher than Group-3 in the fifth repetition (p<0.01).
   Group-2 achieved significantly higher OSATS scores than Group-1 in the
   sixth task. CONCLUSIONS: Artificial intelligence may facilitate trainee
   learning by providing equally or more efficient learning when compared
   to human instruction. These systems may aid in developing
   competency-based standardized curricula in surgical training.
     __________________________________________________________________

   Articles from Neuro-Oncology Advances are provided here courtesy of
   Oxford University Press
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