<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ma R</submitter><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Cancer Institute</funding><funding>NCI NIH HHS</funding><pagination>187</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9780308</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>5(1)</volume><pubmed_abstract>How well a surgery is performed impacts a patient's outcomes; however, objective quantification of performance remains an unsolved challenge. Deconstructing a procedure into discrete instrument-tissue "gestures" is a emerging way to understand surgery. To establish this paradigm in a procedure where performance is the most important factor for patient outcomes, we identify 34,323 individual gestures performed in 80 nerve-sparing robot-assisted radical prostatectomies from two international medical centers. Gestures are classified into nine distinct dissection gestures (e.g., hot cut) and four supporting gestures (e.g., retraction). Our primary outcome is to identify factors impacting a patient's 1-year erectile function (EF) recovery after radical prostatectomy. We find that less use of ho</pubmed_abstract><journal>NPJ digital medicine</journal><pubmed_title>Surgical gestures as a method to quantify surgical performance and predict patient outcomes.</pubmed_title><pmcid>PMC9780308</pmcid><funding_grant_id>R01 CA273031</funding_grant_id><funding_grant_id>R01CA273031</funding_grant_id><pubmed_authors>Urbanova K</pubmed_authors><pubmed_authors>Hu JC</pubmed_authors><pubmed_authors>Ma R</pubmed_authors><pubmed_authors>Wagner C</pubmed_authors><pubmed_authors>Otiato MX</pubmed_authors><pubmed_authors>Wong EY</pubmed_authors><pubmed_authors>Rodriguez I</pubmed_authors><pubmed_authors>Hung AJ</pubmed_authors><pubmed_authors>Laca J</pubmed_authors><pubmed_authors>Chu TN</pubmed_authors><pubmed_authors>Anandkumar A</pubmed_authors><pubmed_authors>Kiyasseh D</pubmed_authors><pubmed_authors>Xu J</pubmed_authors><pubmed_authors>DeMeo G</pubmed_authors><pubmed_authors>Nguyen JH</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Ramaswamy A</pubmed_authors><pubmed_authors>Desai A</pubmed_authors><pubmed_authors>Lee RS</pubmed_authors><pubmed_authors>Trinh L</pubmed_authors><pubmed_authors>Roberts SI</pubmed_authors></additional><is_claimable>false</is_claimable><name>Surgical gestures as a method to quantify surgical performance and predict patient outcomes.</name><description>How well a surgery is performed impacts a patient's outcomes; however, objective quantification of performance remains an unsolved challenge. Deconstructing a procedure into discrete instrument-tissue "gestures" is a emerging way to understand surgery. To establish this paradigm in a procedure where performance is the most important factor for patient outcomes, we identify 34,323 individual gestures performed in 80 nerve-sparing robot-assisted radical prostatectomies from two international medical centers. Gestures are classified into nine distinct dissection gestures (e.g., hot cut) and four supporting gestures (e.g., retraction). Our primary outcome is to identify factors impacting a patient's 1-year erectile function (EF) recovery after radical prostatectomy. We find that less use of ho</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-04T08:45:03.302Z</modification><creation>2025-04-04T08:45:03.302Z</creation></dates><accession>S-EPMC9780308</accession><cross_references><pubmed>36550203</pubmed><doi>10.1038/s41746-022-00738-y</doi></cross_references></HashMap>