{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T04:39:54Z","timestamp":1792643994842,"version":"4.5.0"},"reference-count":0,"publisher":"Ovid Technologies (Wolters Kluwer Health)","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To determine whether multimodal predictive models incorporating task-level objective performance indicators (OPIs) alongside preoperative clinical variables improve prediction of surgeon experience, case complexity, and outcomes in robotic cholecystectomy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>OPIs from robotic platforms enable automated assessment of intraoperative performance, but prior multimodal analyses have suggested limited incremental value beyond clinical variables. Whether this conclusion holds when OPIs are computed at task level and target specifically curated endpoints remains untested.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We retrospectively analyzed 234 Calot\u2019s triangle dissections, 198 by attending surgeons and 36 by trainees. Three feature sets per target\u2014clinical-only (10 preoperative variables), OPI-only (10 target-specific kinematic features), and combined\u2014were evaluated using nested 5-seed\u00d75-fold cross-validation across 5 algorithms (logistic regression, support vector machine, random forest, XGBoost, LightGBM). Discriminative performance was compared by paired Wilcoxon signed-rank tests on fold-level area under the receiver operating characteristic curve (AUROC). Feature contributions were quantified with SHapley Additive exPlanations (SHAP) analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      For surgeon experience and case complexity, OPIs alone matched the combined model (AUROC: 0.967 vs. 0.964; 0.791 vs. 0.792; both\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &gt;0.05) and outperformed clinical variables alone (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt;0.001 and\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.006). For outcomes, the combined model significantly exceeded both single-modality models (AUROC: 0.753 vs. 0.720 clinical and 0.720 OPI-only;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.015 and 0.005). OPIs contributed 90.7%, 73.3%, and 51.7% of total absolute SHAP value across the 3 targets, decreasing with distance from intraoperative kinematics.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Task-level, target-specific OPIs carry independent discriminative information beyond routine preoperative clinical variables. Their incremental value is target-dependent, with multimodal integration offering statistically significant but modest gains for outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1097\/sla.0000000000007231","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T04:00:30Z","timestamp":1792641630000},"update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Prediction in Robotic Surgery: The Incremental Value of Task-Level Kinematic Data"],"prefix":"10.1097","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2356-6627","authenticated-orcid":false,"given":"Mattia","family":"Ballo","sequence":"first","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Intraoperative Performance Analytics Laboratory, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Oncology and Gastroenterology (DiSCOG), University of Padua, Padua, IT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3335-3254","authenticated-orcid":false,"given":"Ilaria","family":"Billato","sequence":"additional","affiliation":[{"name":"Department of Surgery, Oncology and Gastroenterology (DiSCOG), University of Padua, Padua, IT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1674-5034","authenticated-orcid":false,"given":"Aditya Amit","family":"Godbole","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Intraoperative Performance Analytics Laboratory, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emaad","family":"Iqbal","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Intraoperative Performance Analytics Laboratory, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3752-584X","authenticated-orcid":false,"given":"Maria Clara","family":"Morais","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Intraoperative Performance Analytics Laboratory, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8960-266X","authenticated-orcid":false,"given":"Ruben Parra","family":"Salas","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7459-0793","authenticated-orcid":false,"given":"Alessandro","family":"Furlanetto","sequence":"additional","affiliation":[{"name":"Department of Surgery, Oncology and Gastroenterology (DiSCOG), University of Padua, Padua, IT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3938-289X","authenticated-orcid":false,"given":"Matteo","family":"Pittacolo","sequence":"additional","affiliation":[{"name":"Department of Surgery, Oncology and Gastroenterology (DiSCOG), University of Padua, Padua, IT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0305-3530","authenticated-orcid":false,"given":"Elizabeth W.","family":"Tindal","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Intraoperative Performance Analytics Laboratory, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9149-1316","authenticated-orcid":false,"given":"Jeffrey","family":"Nussbaum","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Yee","sequence":"additional","affiliation":[{"name":"Data and Analytics, Intuitive Surgical, Inc., Peachtree Corners, GA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony","family":"Jarc","sequence":"additional","affiliation":[{"name":"Data and Analytics, Intuitive Surgical, Inc., Peachtree Corners, GA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filippo","family":"Filicori","sequence":"additional","affiliation":[{"name":"Department of Surgery, Northwell Health, Lenox Hill Hospital, New York, NY"},{"name":"Department of Surgery, Intraoperative Performance Analytics Laboratory, Lenox Hill Hospital, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,10,22]]},"container-title":["Annals of Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.1097\/SLA.0000000000007231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T04:00:30Z","timestamp":1792641630000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.1097\/SLA.0000000000007231"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,22]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1097\/sla.0000000000007231","relation":{},"ISSN":["0003-4932","1528-1140"],"issn-type":[{"value":"0003-4932","type":"print"},{"value":"1528-1140","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,22]]},"assertion":[{"value":"2026-05-15","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-20","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}