protocolSection identificationModule nctId: NCT06273579, orgStudyIdInfo id: 2010-270, NEU-09-042-Trial 5, briefTitle: Efficiency of Verbal Intelligent Tutor Instruction in Neurosurgical Simulation, statusModule overallStatus: NOT_YET_RECRUITING, startDateStruct date: 2024-03, primaryCompletionDateStruct date: 2024-10, completionDateStruct date: 2024-12, studyFirstPostDateStruct date: 2024-02-22, lastUpdatePostDateStruct date: 2024-03-05, sponsorCollaboratorsModule leadSponsor name: McGill University, class: OTHER, descriptionModule briefSummary: At the Neurosurgical Simulation and Artificial Intelligence Learning Centre, we seek to provide surgical trainees with innovative technologies that allow them to improve their surgical technical skills in risk-free environments, potentially improving patient operative outcomes. The Intelligent Continuous Expertise Monitoring System (ICEMS), a deep learning application that assesses and trains neurosurgical technical skill and provides continuous intraoperative feedback, is one such technology that may improve surgical education.In this randomized controlled trial, medical students from four Quebec universities will be blinded and randomized to one of three groups (one control and two experimental). Group 1 (control) will be provided with verbal AI tutor feedback based on the ICEMS error detection. Group 2 will be tutored by a human instructor who will receive ICEMS error data and deliver verbal instruction identical to that which the AI tutor delivers. Group 3 will be tutored by a human instructor who will be provided with ICEMS data but may deliver feedback as they feel is appropriate to correct the error.The aim of this study is to determine how the method of delivery of verbal surgical error instruction influences trainee response to instruction and overall surgical performance. Evaluating trainee responses to AI instructor verbal feedback as compared to feedback from human instructors will allow for further development, testing, and optimization of the ICEMS and other AI tutoring systems., conditionsModule conditions: Surgical Education, designModule studyType: INTERVENTIONAL, phases: NA, designInfo allocation: RANDOMIZED, interventionModel: PARALLEL, interventionModelDescription: Randomized Controlled Trial, primaryPurpose: HEALTH_SERVICES_RESEARCH, maskingInfo masking: DOUBLE, maskingDescription: Double (Participant, Expert Instructor)Both study participants and expert instructors are unaware of the intervention (varying the method of delivery of verbal error instruction). Moreover, when rating performance in the realistic scenario using the OSATS, experts are unaware of which group any given trainee is part of., whoMasked: PARTICIPANT, whoMasked: OUTCOMES_ASSESSOR, enrollmentInfo count: 78, type: ESTIMATED, armsInterventionsModule interventions name: Experimental Group - Verbal expert instructor feedback in AI's words, interventions name: Experimental Group - Verbal expert instructor feedback in expert's own words, outcomesModule primaryOutcomes measure: Response to instruction, primaryOutcomes measure: Average Intelligent Continuous Expertise Monitoring System (ICEMS) expertise score, primaryOutcomes measure: Objective Structured Assessment of Technical Skills (OSATS) global rating, secondaryOutcomes measure: Difference in the strength of emotions elicited, secondaryOutcomes measure: Difference in cognitive load, eligibilityModule sex: ALL, minimumAge: 18 Years, stdAges: ADULT, stdAges: OLDER_ADULT, contactsLocationsModule locations facility: Neurosurgical Simulation and Artificial Intelligence Learning Centre, city: Montréal, state: Quebec, zip: H2X 4B3, country: Canada, contacts name: Rolando F Del Maestro, MD, PhD, role: CONTACT, phone: (519) 708-0346, email: rolando.del_maestro@mcgill.ca, contacts name: Bianca Giglio, BSc, role: CONTACT, phone: (514) 802-1608, email: bianca.giglio@mail.mcgill.ca, geoPoint lat: 45.50884, lon: -73.58781, hasResults: False