Automated operative reports for robotic radical prostatectomy using an artificial intelligence platform

You have accessJournal of UrologyCME1 Apr 2023PD27-07 AUTOMATED OPERATIVE REPORTS FOR ROBOTIC RADICAL PROSTATECTOMY USING AN ARTIFICIAL INTELLIGENCE PLATFORM Abhinav Khanna, Alenka Antolin, Maya Zohar, Omri Bar, Danielle Ben-Ayoun, Alexander Krueger, Igor Frank, R. Houston Thompson, Paras Shah, Vidit Sharma, Stephen A. Boorjian, Tamir Wolf, Dotan Asselmann, and Matthew Tollefson Abhinav KhannaAbhinav Khanna More articles by this author , Alenka AntolinAlenka Antolin More articles by this author , Maya ZoharMaya Zohar More articles by this author , Omri BarOmri Bar More articles by this author , Danielle Ben-AyounDanielle Ben-Ayoun More articles by this author , Alexander KruegerAlexander Krueger More articles by this author , Igor FrankIgor Frank More articles by this author , R. Houston ThompsonR. Houston Thompson More articles by this author , Paras ShahParas Shah More articles by this author , Vidit SharmaVidit Sharma More articles by this author , Stephen A. BoorjianStephen A. Boorjian More articles by this author , Tamir WolfTamir Wolf More articles by this author , Dotan AsselmannDotan Asselmann More articles by this author , and Matthew TollefsonMatthew Tollefson More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003305.07AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The manual creation of operative reports is a tedious documentation task that increases administrative burden among surgeons, which is a primary driver of physician burnout. Using pre-templated notes may reduce this burden but can lead to documentation inaccuracies. Additionally, surgical operative reports are subjective and lack transparency. We aim to develop an artificial intelligence (AI) tool for automatically generating operative reports based on surgical video alone. METHODS: A previously developed computer vision AI algorithm was employed to automatically detect major steps of robotic radical prostatectomy, including pelvic lymph node dissection, Space of Retzius dissection, anterior bladder neck transection, posterior bladder neck transection, seminal vesicle and posterior dissection, lateral/pedicle and apical dissection, urethral transection, vesicourethral anastomosis, and final inspection/extraction. Each step was mapped to pre-specified text, which was then compiled into a narrative operative report based on AI recognition of surgical steps. Accuracy of the AI-generated operative reports was assessed by comparing to operative reports documented in the medical record (human). All discrepancies between AI and human operative reports were adjudicated by independent video review performed by a fellowship-trained urologic oncologist. RESULTS: A total of 117 cases from a single tertiary referral center were included. There was concordance between human and AI operative reports in 107 cases, suggesting that the AI reproduces major components of the human operative report with 91.5% accuracy. Discrepancies between human and AI operative reports were identified in 10 cases, of which 9 were clinically significant. These included 8 discrepancies in lymph node dissection and 1 discrepancy in anterior bladder neck transection. Upon expert video review, the human was inaccurate in 3 discrepancies (2.6%), while the AI was inaccurate in 6 discrepancies (5.1%). CONCLUSIONS: To our knowledge, this is the first report of AI-powered automated creation of operative reports, which achieve high accuracy as compared to human operative reports for major surgical steps. This novel tool has potential to reduce documentation burden, improve operative report accuracy, promote surgical transparency, and decrease subjectivity in surgical documentation. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e744 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Abhinav Khanna More articles by this author Alenka Antolin More articles by this author Maya Zohar More articles by this author Omri Bar More articles by this author Danielle Ben-Ayoun More articles by this author Alexander Krueger More articles by this author Igor Frank More articles by this author R. Houston Thompson More articles by this author Paras Shah More articles by this author Vidit Sharma More articles by this author Stephen A. Boorjian More articles by this author Tamir Wolf More articles by this author Dotan Asselmann More articles by this author Matthew Tollefson More articles by this author Expand All Advertisement PDF downloadLoading ...