V12-01 USE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO DEVELOP AN EDUCATION SYSTEM FOR INSTRUCTORLESS SURGICAL TRAINING

Abstract

You have accessJournal of UrologyProstate Oncology/Penile & Testis Oncology/Misc. Oncology II (V12)1 May 2024V12-01 USE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO DEVELOP AN EDUCATION SYSTEM FOR INSTRUCTORLESS SURGICAL TRAINING Nelson N. Stone, Steven Griffith, Eric Delmonico, Michael Wilson, Laura Kim, and Jonathan J. Stone Nelson N. StoneNelson N. Stone , Steven GriffithSteven Griffith , Eric DelmonicoEric Delmonico , Michael WilsonMichael Wilson , Laura KimLaura Kim , and Jonathan J. StoneJonathan J. Stone View All Author Informationhttps://doi.org/10.1097/01.JU.0001009480.90141.21.01AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Hands-on training for new procedures is limited by the availability of proctors proficient in new medical devices. Training is further constrained by the costs and time associated with the need to travel to be present for the training. A new system utilizing artificial intelligence (AI) to create instructorless training programs could help ameliorate these limitations. METHODS: A prototype education system for an instructorless surgical training (ESIST) program was created for training in the insertion of a needle into the perirectal space prior to spacer device placement. ESIST was developed by utilizing machine learning to convert 4 machine learning models, with a total of 12 unique ultrasound states via AI to instructions and observations. The ESIST program provided instructions to an extended reality headset worn by the student and incorporated corrective measures when needle position errors were encountered (Figure 1). The extended reality (XD) headset was developed to project the visual and audio instructions from the ESIST program and combined them with the live ultrasound images during the procedure. The headset contained see-through reflective lenses allowing the student to observe both the instructions and ultrasound images as an overlay on top of the prostate phantom. When the procedure was completed, the program provided a score. RESULTS: The student placed a needle into the prostate phantom which was recognized by ESIST. The program instructed the student to angle the needle down 7-8 degrees once the perineum was pierced and then insert it above the rectal hump and into the perirectal space. Once the needle reached the base of the prostate with its bevel down the student was asked to switch imaging to axial to ensure the needle was in the midline. Imaging was then switched back to axial and the procedure was then scored by ESIST. CONCLUSIONS: We demonstrated the feasibility of using AI to create a program to train physicians in a surgical procedure without the need for a proctor to be present. AI can be used to develop more complex surgical training programs. Download PPT Source of Funding: The creation of ESIST was supported by NSF 1913911 and Viomerse, Inc © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e994 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Nelson N. Stone More articles by this author Steven Griffith More articles by this author Eric Delmonico More articles by this author Michael Wilson More articles by this author Laura Kim More articles by this author Jonathan J. Stone More articles by this author Expand All Advertisement PDF downloadLoading ...

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