{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T07:57:09Z","timestamp":1793606229211,"version":"4.5.0"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"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":["Surg Endosc"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s00464-023-10322-4","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T19:23:17Z","timestamp":1692040997000},"page":"8778-8784","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Bringing Artificial Intelligence to the operating room: edge computing for real-time surgical phase recognition"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-2549-7647","authenticated-orcid":false,"given":"Sarah","family":"Choksi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Skyler","family":"Szot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengbo","family":"Zang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaan","family":"Yarali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feroz","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zixuan","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel P.","family":"Bitner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zoran","family":"Kostic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filippo","family":"Filicori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,14]]},"reference":[{"issue":"7639","key":"10322_CR1","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","volume":"542","author":"A Esteva","year":"2017","unstructured":"Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115\u2013118. https:\/\/doi.org\/10.1038\/nature21056","journal-title":"Nature"},{"key":"10322_CR2","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1053\/J.GASTRO.2018.04.003","volume":"154","author":"M Misawa","year":"2018","unstructured":"Misawa M, Kudo S, Mori Y, Cho T, Kataoka S, Yamauchi A, Ogawa Y, Maeda Y, Takeda K, Ichimasa K, Nakamura H, Yagawa Y, Toyoshima N, Ogata N, Kudo T, Hisayuki T, Hayashi T, Wakamura K, Baba T, Ishida F, Itoh H, Roth H, Oda M, Mori K (2018) Artificial Intelligence-assisted polyp detection for colonoscopy: initial experience. Gastroenterology 154:2027-2029.e3. https:\/\/doi.org\/10.1053\/J.GASTRO.2018.04.003","journal-title":"Gastroenterology"},{"issue":"15","key":"10322_CR3","doi-asserted-by":"publisher","first-page":"3803","DOI":"10.3390\/CANCERS14153803","volume":"14","author":"G Quero","year":"2022","unstructured":"Quero G, Mascagni P, Kolbinger FR, Fiorillo C, De Sio D, Longo F, Schena CA, Laterza V, Rosa F, Menghi R, Papa V, Tondolo V, Cina C, Distler M, Weitz J, Speidel S, Padoy N, Alfieri S (2022) Artificial Intelligence in colorectal cancer surgery: present and future perspectives. Cancers (Basel) 14(15):3803. https:\/\/doi.org\/10.3390\/CANCERS14153803","journal-title":"Cancers (Basel)"},{"issue":"1","key":"10322_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1038\/s41597-022-01719-2","volume":"10","author":"M Carstens","year":"2023","unstructured":"Carstens M, Rinner FM, Bodenstedt S, Jenke AC, Weitz J, Distler M, Speidel S, Kolbinger FR (2023) The Dresden Surgical Anatomy Dataset for abdominal organ segmentation in surgical data science. Sci Data 10(1):3. https:\/\/doi.org\/10.1038\/s41597-022-01719-2","journal-title":"Sci Data"},{"issue":"7553","key":"10322_CR5","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436\u2013444. https:\/\/doi.org\/10.1038\/nature14539","journal-title":"Nature"},{"key":"10322_CR6","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1016\/J.SURG.2020.10.039","volume":"169","author":"TM Ward","year":"2021","unstructured":"Ward TM, Mascagni P, Ban Y, Rosman G, Padoy N, Meireles O, Hashimoto DA (2021) Computer vision in surgery. Surgery 169:1253\u20131256. https:\/\/doi.org\/10.1016\/J.SURG.2020.10.039","journal-title":"Surgery"},{"key":"10322_CR7","doi-asserted-by":"publisher","first-page":"1669","DOI":"10.1007\/S10029-022-02621-X\/FIGURES\/3","volume":"26","author":"M Takeuchi","year":"2022","unstructured":"Takeuchi M, Collins T, Ndagijimana A, Kawakubo H, Kitagawa Y, Marescaux J, Mutter D, Perretta S, Hostettler A, Dallemagne B (2022) Automatic surgical phase recognition in laparoscopic inguinal hernia repair with artificial intelligence. Hernia 26:1669\u20131678. https:\/\/doi.org\/10.1007\/S10029-022-02621-X\/FIGURES\/3","journal-title":"Hernia"},{"key":"10322_CR8","doi-asserted-by":"publisher","first-page":"4924","DOI":"10.1007\/S00464-019-07281-0","volume":"34","author":"D Kitaguchi","year":"2020","unstructured":"Kitaguchi D, Takeshita N, Matsuzaki H, Takano H, Owada Y, Enomoto T, Oda T, Miura H, Yamanashi T, Watanabe M, Sato D, Sugomori Y, Hara S, Ito M (2020) Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach. Surg Endosc 34:4924\u20134931. https:\/\/doi.org\/10.1007\/S00464-019-07281-0","journal-title":"Surg Endosc"},{"key":"10322_CR9","doi-asserted-by":"publisher","unstructured":"Varghese B, Wang N, Barbhuiya S, Kilpatrick P, Nikolopoulos DS (2016) Challenges and opportunities in edge computing. In: Proceedings of 2016 IEEE International Conference on Smart Cloud, pp 20\u201326. https:\/\/doi.org\/10.1109\/SMARTCLOUD.2016.18","DOI":"10.1109\/SMARTCLOUD.2016.18"},{"key":"10322_CR10","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1093\/ije\/25.4.835","volume":"25","author":"P Primatesta","year":"1996","unstructured":"Primatesta P, Goldacre MJ (1996) Inguinal hernia repair: incidence of elective and emergency surgery, readmission and mortality. Int J Epidemiol 25:835\u2013894. https:\/\/doi.org\/10.1093\/ije\/25.4.835","journal-title":"Int J Epidemiol"},{"key":"10322_CR11","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1007\/S10029-014-1314-9\/TABLES\/2","volume":"19","author":"JJ Maisonneuve","year":"2015","unstructured":"Maisonneuve JJ, Yeates D, Goldacre MJ (2015) Trends in operation rates for inguinal hernia over five decades in England: database study. Hernia 19:713\u2013718. https:\/\/doi.org\/10.1007\/S10029-014-1314-9\/TABLES\/2","journal-title":"Hernia"},{"key":"10322_CR12","doi-asserted-by":"publisher","first-page":"1911","DOI":"10.1109\/TMI.2021.3069471","volume":"40","author":"Y Jin","year":"2021","unstructured":"Jin Y, Long Y, Chen C, Zhao Z, Dou Q, Heng PA (2021) Temporal memory relation network for workflow recognition from surgical Video. IEEE Trans Med Imaging 40:1911\u20131923. https:\/\/doi.org\/10.1109\/TMI.2021.3069471","journal-title":"IEEE Trans Med Imaging"},{"key":"10322_CR13","doi-asserted-by":"publisher","first-page":"1920","DOI":"10.1161\/CIRCULATIONAHA.115.001593","volume":"132","author":"RC Deo","year":"2015","unstructured":"Deo RC (2015) Machine learning in medicine. Circulation 132:1920\u20131930. https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.115.001593","journal-title":"Circulation"},{"key":"10322_CR14","doi-asserted-by":"publisher","first-page":"4918","DOI":"10.1007\/s00464-021-08578-9\/TABLES\/6","volume":"35","author":"OR Meireles","year":"2021","unstructured":"Meireles OR, Rosman G, Altieri MS, Carin L, Hager G, Madani A, Padoy N, Pugh CM, Sylla P, Ward TM, Hashimoto DA, Ban Y, Filicori F, Mascagni P, Mellinger J, Schlacta C, Speidel S, Juergens T, Garcia-Kilroy P, Asselman D, Bohnen J, Draelos RB, Fuchs H, Henao R, Sarikaya D, Boyle C, Fer D, Li Z, Ramadorai A, Stoyanov D, Yoo A, Gonzalez C, Oleynikov D, Pratt J, Scott D, Vedula S, Witkowski E, Shimizu T, Tousignant M, Azagury D, Bridault F, Dunkin B, Grantcharov T, Jannin P, Malpani A, Perretta S, Schwaitzberg S, Jarc A, Landfors K, Mahadik A, Nguyen H (2021) SAGES consensus recommendations on an annotation framework for surgical video. Surg Endosc 35:4918\u20134929. https:\/\/doi.org\/10.1007\/s00464-021-08578-9\/TABLES\/6","journal-title":"Surg Endosc"},{"key":"10322_CR15","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1080\/24699322.2021.1937320","volume":"26","author":"TM Ward","year":"2021","unstructured":"Ward TM, Fer DM, Ban Y, Rosman G, Meireles OR, Hashimoto DA (2021) Challenges in surgical video annotation. Comput Assist Surg 26:58\u201368. https:\/\/doi.org\/10.1080\/24699322.2021.1937320","journal-title":"Comput Assist Surg"},{"key":"10322_CR16","doi-asserted-by":"publisher","first-page":"654","DOI":"10.3390\/BIOENGINEERING10060654","volume":"10","author":"C Zang","year":"2023","unstructured":"Zang C, Turkcan MK, Narasimhan S, Cao Y, Yarali K, Xiang Z, Szot S, Ahmad F, Choksi S, Bitner DP, Filicori F, Kostic Z (2023) Surgical phase recognition in inguinal hernia repair-AI-based confirmatory baseline and exploration of competitive models. Bioengineering (Basel) 10:654. https:\/\/doi.org\/10.3390\/BIOENGINEERING10060654","journal-title":"Bioengineering (Basel)"},{"key":"10322_CR17","doi-asserted-by":"publisher","first-page":"3335","DOI":"10.1007\/s10586-020-03090-6\/TABLES\/10","volume":"23","author":"M Afif","year":"2020","unstructured":"Afif M, Said Y, Atri M (2020) Computer vision algorithms acceleration using graphic processors NVIDIA CUDA. Cluster Comput 23:3335\u20133347. https:\/\/doi.org\/10.1007\/s10586-020-03090-6\/TABLES\/10","journal-title":"Cluster Comput"},{"issue":"1","key":"10322_CR18","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1038\/s41746-022-00707-5","volume":"5","author":"P Mascagni","year":"2022","unstructured":"Mascagni P, Alapatt D, Sestini L, Altieri MS, Madani A, Watanabe Y, Alseidi A, Redan JA, Alfieri S, Costamagna G, Bo\u0161koski I, Padoy N, Hashimoto DA (2022) Computer vision in surgery: from potential to clinical value. NPJ Digit Med 5(1):163. https:\/\/doi.org\/10.1038\/s41746-022-00707-5","journal-title":"NPJ Digit Med"}],"container-title":["Surgical Endoscopy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00464-023-10322-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00464-023-10322-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00464-023-10322-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T16:10:32Z","timestamp":1704730232000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00464-023-10322-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,14]]},"references-count":18,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["10322"],"URL":"https:\/\/doi.org\/10.1007\/s00464-023-10322-4","relation":{},"ISSN":["0930-2794","1432-2218"],"issn-type":[{"value":"0930-2794","type":"print"},{"value":"1432-2218","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,14]]},"assertion":[{"value":"10 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 July 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Daniel Bitner has received consulting fees from Deep Surgery, Inc. in the past. Filippo Filicori receives consulting fees from Boston Scientific. Sarah Choksi, Skyler Szot, Chengbo Zang, Kaan Yarali, Yuqing Cao, Feroz Ahmad, Zixuan Xiang and Zoran Kostic have no conflicts of interest or financial ties to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosures"}}]}}