{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T17:16:07Z","timestamp":1786122967096,"version":"build-2736575974"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T00:00:00Z","timestamp":1778198400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T00:00:00Z","timestamp":1778198400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"DOI":"10.1007\/s11548-026-03691-3","type":"journal-article","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T05:58:40Z","timestamp":1778219920000},"page":"1427-1431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning where to look: scaling parkland grade prediction from surgical videos"],"prefix":"10.1007","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9153-9156","authenticated-orcid":false,"given":"Sreeram","family":"Kamabattula","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sue","family":"Kulason","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Busisiwe","family":"Mlambo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lilia","family":"Purvis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kiran","family":"Bhattacharyya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,8]]},"reference":[{"issue":"1","key":"3691_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s13037-023-00364-x","volume":"17","author":"A Shrestha","year":"2023","unstructured":"Shrestha A, Bhattarai A, Tamrakar KK, Chand M, Yonjan Tamang S, Adhikari S, Neupane HC (2023) Utility of the parkland grading scale to determine intraoperative challenges during laparoscopic cholecystectomy: a validation study on 206 patients at an academic medical center in nepal. Patient Saf Surg 17(1):12","journal-title":"Patient Saf Surg"},{"issue":"2","key":"3691_CR2","doi-asserted-by":"publisher","first-page":"62","DOI":"10.4103\/0972-9941.129947","volume":"10","author":"MAKM Vivek","year":"2014","unstructured":"Vivek MAKM, Augustine AJ, Rao R (2014) A comprehensive predictive scoring method for difficult laparoscopic cholecystectomy. J Minimal Access Surgery 10(2):62\u201367","journal-title":"J Minimal Access Surgery"},{"issue":"1","key":"3691_CR3","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1186\/s12893-025-02847-3","volume":"25","author":"HS Abdallah","year":"2025","unstructured":"Abdallah HS, Sedky MH, Sedky ZH (2025) The difficult laparoscopic cholecystectomy: a narrative review. BMC Surg 25(1):156","journal-title":"BMC Surg"},{"issue":"2","key":"3691_CR4","doi-asserted-by":"publisher","first-page":"63","DOI":"10.3109\/13645709509152757","volume":"4","author":"A Nassar","year":"1995","unstructured":"Nassar A, Ashkar K, Mohamed A, Hafiz A (1995) Is laparoscopic cholecystectomy possible without video technology? Minimally Invasive Therapy 4(2):63\u201365","journal-title":"Minimally Invasive Therapy"},{"issue":"1","key":"3691_CR5","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s13017-015-0005-x","volume":"10","author":"M Sugrue","year":"2015","unstructured":"Sugrue M, Sahebally SM, Ansaloni L, Zielinski MD (2015) Grading operative findings at laparoscopic cholecystectomy-a new scoring system. World J Emergency Surg 10(1):14","journal-title":"World J Emergency Surg"},{"issue":"4","key":"3691_CR6","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1016\/j.amjsurg.2017.05.017","volume":"215","author":"TD Madni","year":"2018","unstructured":"Madni TD, Leshikar DE, Minshall CT, Nakonezny PA, Cornelius CC, Imran JB, Clark AT, Williams BH, Eastman AL, Minei JP et al (2018) The parkland grading scale for cholecystitis. Am J Surg 215(4):625\u2013630","journal-title":"Am J Surg"},{"key":"3691_CR7","doi-asserted-by":"crossref","unstructured":"Madni TD, Nakonezny PA, Barrios E, Imran JB, Clark AT, Taveras L, Cunningham HB, Christie A, Eastman AL, Minshall CT et al (2019) Prospective validation of the parkland grading scale for cholecystitis. Am J Surg 217(1):90\u201397","DOI":"10.1016\/j.amjsurg.2018.08.005"},{"issue":"11","key":"3691_CR8","doi-asserted-by":"publisher","first-page":"2371","DOI":"10.18203\/2320-6012.ijrms20222831","volume":"10","author":"GG Arguello","year":"2022","unstructured":"Arguello GG, Beltran JB, Cruz IH, Flores JS, Romero A, Garc\u00eda B, Paulina A, Pedroso SG, Herrera G, Castellanos Y (2022) Is the parkland grading scale related to surgical difficulty in laparoscopic cholecystectomy. Int J Res Med Sci 10(11):2371","journal-title":"Int J Res Med Sci"},{"issue":"1","key":"3691_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12893-023-02036-0","volume":"23","author":"Y-Q Liu","year":"2023","unstructured":"Liu Y-Q, Wang C, Cai X, Zheng Z-X, Bi J-T (2023) Can the parkland grading scale predict the difficulty of laparoscopic cholecystectomy? a new approach to validation. BMC Surg 23(1):1\u20136","journal-title":"BMC Surg"},{"issue":"9","key":"3691_CR10","doi-asserted-by":"publisher","first-page":"6832","DOI":"10.1007\/s00464-022-09009-z","volume":"36","author":"TM Ward","year":"2022","unstructured":"Ward TM, Hashimoto DA, Ban Y, Rosman G, Meireles OR (2022) Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation. Surg Endosc 36(9):6832\u20136840","journal-title":"Surg Endosc"},{"key":"3691_CR11","doi-asserted-by":"crossref","unstructured":"Sharma S, Vannucci M, Pestana Legori L, Scaglia M, Laracca GG, Mutter D, Alfieri S, Mascagni P, Padoy N (2025) Early operative difficulty assessment in laparoscopic cholecystectomy via snapshot-centric video analysis. Int J Comput Assisted Radiol Surgery 1\u20139","DOI":"10.1007\/s11548-025-03372-7"},{"key":"3691_CR12","doi-asserted-by":"crossref","unstructured":"Mlambo B, Shields M, Bach S, Bauer A, Hung A, Kudsi OY, Neis F, Lazar J, Oh D, Perez R et al (2025) A standardized temporal segmentation framework and annotation resource library in robotic surgery. Mayo Clinic Proceedings: Digital Health 100257","DOI":"10.1016\/j.mcpdig.2025.100257"},{"key":"3691_CR13","unstructured":"Oquab M, Darcet T, Moutakanni T, Vo H, Szafraniec M, Khalidov V, Fernandez P, Haziza D, Massa F, El-Nouby A et al (2024) Dinov2: Learning robust visual features without supervision. Trans Machine Learn Res J"},{"key":"3691_CR14","doi-asserted-by":"crossref","unstructured":"Lea C, Flynn MD, Vidal R, Reiter A, Hager GD (2017) Temporal convolutional networks for action segmentation and detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition 156\u2013165","DOI":"10.1109\/CVPR.2017.113"},{"key":"3691_CR15","doi-asserted-by":"crossref","unstructured":"Lu Z, Elhamifar E (2024) Fact: Frame-action cross-attention temporal modeling for efficient action segmentation. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition 18175\u201318185","DOI":"10.1109\/CVPR52733.2024.01721"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-026-03691-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-026-03691-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-026-03691-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T13:20:07Z","timestamp":1786108807000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-026-03691-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,8]]},"references-count":15,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2026,6]]}},"alternative-id":["3691"],"URL":"https:\/\/doi.org\/10.1007\/s11548-026-03691-3","relation":{},"ISSN":["1861-6429"],"issn-type":[{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,8]]},"assertion":[{"value":"11 March 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"At the time of project execution and manuscript preparation, Sreeram Kamabattula, Sue Kulason, Busisiwe Mlambo, Lilia Purvis, Kiran Bhattacharyya are\/were research employees of Intuitive Surgical without sales or marketing responsibilities.","order":1,"name":"Ethics","label":"Compliance with Ethical Standards","group":{"name":"EthicsHeading","label":"Declarations"}}]}}