{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T05:52:25Z","timestamp":1768542745878,"version":"3.49.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,4,20]],"date-time":"2024-04-20T00:00:00Z","timestamp":1713571200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,20]],"date-time":"2024-04-20T00:00:00Z","timestamp":1713571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["R21EB028505"],"award-info":[{"award-number":["R21EB028505"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2239077"],"award-info":[{"award-number":["2239077"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005238","name":"Link Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005238","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"DOI":"10.1007\/s11548-024-03138-7","type":"journal-article","created":{"date-parts":[[2024,4,21]],"date-time":"2024-04-21T02:38:00Z","timestamp":1713667080000},"page":"1213-1222","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Stand in surgeon\u2019s shoes: virtual reality cross-training to enhance teamwork in surgery"],"prefix":"10.1007","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2511-7929","authenticated-orcid":false,"given":"Benjamin D.","family":"Killeen","sequence":"first","affiliation":[]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Liam J.","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zixuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Constantin","family":"Kleinbeck","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Rosen","sequence":"additional","affiliation":[]},{"given":"Russell H.","family":"Taylor","sequence":"additional","affiliation":[]},{"given":"Greg","family":"Osgood","sequence":"additional","affiliation":[]},{"given":"Mathias","family":"Unberath","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,20]]},"reference":[{"issue":"5","key":"3138_CR1","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1016\/j.amjsurg.2008.03.002","volume":"197","author":"K Mazzocco","year":"2009","unstructured":"Mazzocco K, Petitti DB, Fong KT, Bonacum D, Brookey J, Graham S, Lasky RE, Sexton JB, Thomas EJ (2009) Surgical team behaviors and patient outcomes. Am J Surg 197(5):678\u2013685. https:\/\/doi.org\/10.1016\/j.amjsurg.2008.03.002","journal-title":"Am J Surg"},{"issue":"1","key":"3138_CR2","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.surg.2007.01.033","volume":"142","author":"KR Catchpole","year":"2007","unstructured":"Catchpole KR, Giddings AEB, Wilkinson M, Hirst G, Dale T, Leval MR (2007) Improving patient safety by identifying latent failures in successful operations. Surgery 142(1):102\u2013110. https:\/\/doi.org\/10.1016\/j.surg.2007.01.033","journal-title":"Surgery"},{"issue":"1","key":"3138_CR3","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.athoracsur.2017.12.045","volume":"106","author":"E-L Aveling","year":"2018","unstructured":"Aveling E-L, Stone J, Sundt T, Wright C, Gino F, Singer S (2018) Factors influencing team behaviors in surgery: a qualitative study to inform teamwork interventions. Ann Thorac Surg 106(1):115\u2013120. https:\/\/doi.org\/10.1016\/j.athoracsur.2017.12.045","journal-title":"Ann Thorac Surg"},{"issue":"3","key":"3138_CR4","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S1553-7250(10)36022-3","volume":"36","author":"SJ Weaver","year":"2010","unstructured":"Weaver SJ, Rosen MA, DiazGranados D, Lazzara EH, Lyons R, Salas E, Knych SA, McKeever M, Adler L, Barker M, King HB (2010) Does teamwork improve performance in the operating room? A multilevel evaluation. Jt Comm J Qual Patient Saf 36(3):133\u2013142. https:\/\/doi.org\/10.1016\/S1553-7250(10)36022-3","journal-title":"Jt Comm J Qual Patient Saf"},{"issue":"1","key":"3138_CR5","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1518\/001872096778940741","volume":"38","author":"CE Volpe","year":"1996","unstructured":"Volpe CE, Cannon-Bowers JA, Salas E, Spector PE (1996) The impact of cross-training on team functioning: an empirical investigation. Hum Factors 38(1):87\u2013100. https:\/\/doi.org\/10.1518\/001872096778940741","journal-title":"Hum Factors"},{"issue":"1","key":"3138_CR6","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1037\/0021-9010.87.1.3","volume":"87","author":"MA Marks","year":"2002","unstructured":"Marks MA, Sabella MJ, Burke CS, Zaccaro SJ (2002) The impact of cross-training on team effectiveness. J Appl Psychol 87(1):3","journal-title":"J Appl Psychol"},{"issue":"1","key":"3138_CR7","doi-asserted-by":"publisher","first-page":"13","DOI":"10.3390\/pharmacy7010013","volume":"7","author":"AR Hedges","year":"2019","unstructured":"Hedges AR, Johnson HJ, Kobulinsky LR, Estock JL, Eibling D, Seybert AL (2019) Effects of cross-training on medical teams\u2019 teamwork and collaboration: use of simulation. Pharmacy 7(1):13. https:\/\/doi.org\/10.3390\/pharmacy7010013","journal-title":"Pharmacy"},{"issue":"2","key":"3138_CR8","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/S0002-9610(98)00327-4","volume":"177","author":"DJ Anastakis","year":"1999","unstructured":"Anastakis DJ, Regehr G, Reznick RK, Cusimano M, Murnaghan J, Brown M, Hutchison C (1999) Assessment of technical skills transfer from the bench training model to the human model. Am J Surg 177(2):167\u2013170. https:\/\/doi.org\/10.1016\/S0002-9610(98)00327-4","journal-title":"Am J Surg"},{"key":"3138_CR9","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.jss.2021.06.045","volume":"268","author":"RQ Mao","year":"2021","unstructured":"Mao RQ, Lan L, Kay J, Lohre R, Ayeni OR, Goel DP, Sa DD (2021) Immersive virtual reality for surgical training: a systematic review. J Surg Res 268:40\u201358. https:\/\/doi.org\/10.1016\/j.jss.2021.06.045","journal-title":"J Surg Res"},{"key":"3138_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s44186-023-00120-w","author":"G Cate","year":"2023","unstructured":"Cate G, Barnes J, Cherney S, Stambough J, Bumpass D, Barnes CL, Dickinson KJ (2023) Current status of virtual reality simulation education for orthopedic residents: the need for a change in focus. Global Surg Educat-J Associat Surg Educat. https:\/\/doi.org\/10.1007\/s44186-023-00120-w","journal-title":"Global Surg Educat-J Associat Surg Educat"},{"key":"3138_CR11","doi-asserted-by":"publisher","unstructured":"Rebol M, Pietroszek K, Ranniger C, Hood C, Rutenberg A, Sikka N, Li D, G\u00fctl C: Mixed reality communication for medical procedures: teaching the placement of a central venous catheter. In: 2022 IEEE international symposium on mixed and augmented reality (ISMAR), pp 17\u201321. IEEE. https:\/\/doi.org\/10.1109\/ISMAR55827.2022.00050","DOI":"10.1109\/ISMAR55827.2022.00050"},{"issue":"4","key":"3138_CR12","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1016\/j.jsurg.2020.01.002","volume":"77","author":"G Blumstein","year":"2020","unstructured":"Blumstein G, Zukotynski B, Cevallos N, Ishmael C, Zoller S, Burke Z, Clarkson S, Park H, Bernthal N, SooHoo NF (2020) Randomized trial of a virtual reality tool to teach surgical technique for tibial shaft fracture intramedullary nailing. J Surg Educ 77(4):969\u2013977. https:\/\/doi.org\/10.1016\/j.jsurg.2020.01.002","journal-title":"J Surg Educ"},{"key":"3138_CR13","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1016\/j.wneu.2020.04.102","volume":"140","author":"A Luca","year":"2020","unstructured":"Luca A, Giorgino R, Gesualdo L, Peretti GM, Belkhou A, Banfi G, Grasso G (2020) Innovative educational pathways in spine surgery: advanced virtual reality-based training. World Neurosurg 140:674\u2013680. https:\/\/doi.org\/10.1016\/j.wneu.2020.04.102","journal-title":"World Neurosurg"},{"issue":"1","key":"3138_CR14","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1053\/j.tvir.2018.10.008","volume":"22","author":"ZA Miller","year":"2019","unstructured":"Miller ZA, Amin A, Tu J, Echenique A, Winokur RS (2019) Simulation-based training for interventional radiology and opportunities for improving the educational paradigm. Tech Vasc Interv Radiol 22(1):35\u201340. https:\/\/doi.org\/10.1053\/j.tvir.2018.10.008","journal-title":"Tech Vasc Interv Radiol"},{"issue":"31","key":"3138_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41539-022-00147-6","volume":"7","author":"JK-Y Essoe","year":"2022","unstructured":"Essoe JK-Y, Reggente N, Ohno AA, Baek YH, Dell\u2019Italia J, Rissman J (2022) Enhancing learning and retention with distinctive virtual reality environments and mental context reinstatement. Npj Sci Learn 7(31):1\u201314. https:\/\/doi.org\/10.1038\/s41539-022-00147-6","journal-title":"Npj Sci Learn"},{"issue":"3","key":"3138_CR16","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1007\/s00270-006-0161-1","volume":"30","author":"M Berry","year":"2007","unstructured":"Berry M, Lystig T, Beard J, Klingestierna H, Reznick R, L\u00f6nn L (2007) Porcine transfer study: virtual reality simulator training compared with porcine training in endovascular novices. Cardiovasc Intervent Radiol 30(3):455\u2013461. https:\/\/doi.org\/10.1007\/s00270-006-0161-1","journal-title":"Cardiovasc Intervent Radiol"},{"issue":"6","key":"3138_CR17","doi-asserted-by":"publisher","first-page":"26","DOI":"10.2106\/JBJS.19.00982","volume":"102","author":"R Lohre","year":"2020","unstructured":"Lohre R, Bois AJ, Athwal GS, Goel DP (2020) on behalf of the Canadian Shoulder and Elbow Society (CSES)$$\\ast $$: Improved Complex Skill Acquisition by Immersive Virtual Reality Training: A Randomized Controlled Trial. JBJS 102(6):26. https:\/\/doi.org\/10.2106\/JBJS.19.00982","journal-title":"JBJS"},{"key":"3138_CR18","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2021.1999331","author":"A Munawar","year":"2021","unstructured":"Munawar A, Li Z, Kunjam P, Nagururu N, Ding AS, Kazanzides P, Looi T, Creighton FX, Taylor RH, Unberath M (2021) Virtual reality for synergistic surgical training and data generation. Comput Methods Biomech Biomed Eng: Imag Visualiz. https:\/\/doi.org\/10.1080\/21681163.2021.1999331","journal-title":"Comput Methods Biomech Biomed Eng: Imag Visualiz"},{"issue":"5","key":"3138_CR19","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1049\/htl.2018.5066","volume":"5","author":"M Unberath","year":"2018","unstructured":"Unberath M, Fotouhi J, Hajek J, Maier A, Osgood G, Taylor R, Armand M, Navab N (2018) Augmented reality-based feedback for technician-in-the-loop C-arm repositioning. Healthcare Technol Lett 5(5):143\u2013147. https:\/\/doi.org\/10.1049\/htl.2018.5066","journal-title":"Healthcare Technol Lett"},{"key":"3138_CR20","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2022.2154272","author":"BD Killeen","year":"2023","unstructured":"Killeen BD, Winter J, Gu W, Martin-Gomez A, Taylor RH, Osgood G, Unberath M (2023) Mixed reality interfaces for achieving desired views with robotic X-ray systems. Comput Methods Biomech Biomed Eng: Imag Visualiz. https:\/\/doi.org\/10.1080\/21681163.2022.2154272","journal-title":"Comput Methods Biomech Biomed Eng: Imag Visualiz"},{"issue":"7","key":"3138_CR21","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1007\/s11548-023-02941-y","volume":"18","author":"BD Killeen","year":"2023","unstructured":"Killeen BD, Gao C, Oguine KJ, Darcy S, Armand M, Taylor RH, Osgood G, Unberath M (2023) An autonomous X-ray image acquisition and interpretation system for assisting percutaneous pelvic fracture fixation. Int J CARS 18(7):1201\u20131208. https:\/\/doi.org\/10.1007\/s11548-023-02941-y","journal-title":"Int J CARS"},{"key":"3138_CR22","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.1.015005","author":"T De Silva","year":"2018","unstructured":"De Silva T, Punnoose J, Uneri A, Mahesh M, Goerres J, Jacobson M, Ketcha MD, Manbachi A, Vogt S, Kleinszig G, Khanna AJ, Wolinksy J-P, Siewerdsen JH, Osgood G (2018) Virtual fluoroscopy for intraoperative C-arm positioning and radiation dose reduction. J Med Imaging. https:\/\/doi.org\/10.1117\/1.JMI.5.1.015005","journal-title":"J Med Imaging"},{"key":"3138_CR23","doi-asserted-by":"publisher","unstructured":"Allen DR, Moore J, Joschko A, Clarke C, Peters TM, Chen ECS (2020) Miniature C-arm simulator using wireless accelerometer based tracking. In: Proceedings Volume 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling (vol. 11315, p. 1131502). SPIE, https:\/\/doi.org\/10.1117\/12.2547388","DOI":"10.1117\/12.2547388"},{"key":"3138_CR24","doi-asserted-by":"crossref","unstructured":"Bott OJ, Dresing K, Wagner M, Raab B-W, Teistler M (2011) Informatics in radiology: use of a C-Arm fluoroscopy simulator to support training in intraoperative radiography. Radiographics","DOI":"10.1148\/rg.313105125"},{"key":"3138_CR25","doi-asserted-by":"publisher","unstructured":"Killeen BD, Chakraborty S, Osgood G, Unberath M (2022) Toward perception-based anticipation of cortical breach during K-wire fixation of the pelvis. In: Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging (vol. 12031, pp. 410\u2013415). SPIE, https:\/\/doi.org\/10.1117\/12.2612989","DOI":"10.1117\/12.2612989"},{"issue":"3","key":"3138_CR26","doi-asserted-by":"publisher","DOI":"10.1088\/2516-1091\/acd28b","volume":"5","author":"BD Killeen","year":"2023","unstructured":"Killeen BD, Cho SM, Armand M, Taylor RH, Unberath M (2023) In silico simulation: a key enabling technology for next-generation intelligent surgical systems. Prog Biomed Eng 5(3):032001. https:\/\/doi.org\/10.1088\/2516-1091\/acd28b","journal-title":"Prog Biomed Eng"},{"issue":"7","key":"3138_CR27","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1007\/s11548-020-02204-0","volume":"15","author":"L Kausch","year":"2020","unstructured":"Kausch L, Thomas S, Kunze H, Privalov M, Vetter S, Franke J, Mahnken AH, Maier-Hein L, Maier-Hein K (2020) Toward automatic C-arm positioning for standard projections in orthopedic surgery. Int J CARS 15(7):1095\u20131105. https:\/\/doi.org\/10.1007\/s11548-020-02204-0","journal-title":"Int J CARS"},{"issue":"3","key":"3138_CR28","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1038\/s42256-023-00629-1","volume":"5","author":"C Gao","year":"2023","unstructured":"Gao C, Killeen BD, Hu Y, Grupp RB, Taylor RH, Armand M, Unberath M (2023) Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis. Nat Mach Intell 5(3):294\u2013308. https:\/\/doi.org\/10.1038\/s42256-023-00629-1","journal-title":"Nat Mach Intell"},{"key":"3138_CR29","doi-asserted-by":"publisher","unstructured":"Killeen BD, Zhang H, Mangulabnan J, Armand M, Taylor RH, Osgood G, Unberath M (2023) Pelphix: Surgical Phase Recognition from X-Ray Images in Percutaneous Pelvic Fixation. In: Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023, pp 133\u2013143. Springer, Cham, Switzerland. https:\/\/doi.org\/10.1007\/978-3-031-43996-4_13","DOI":"10.1007\/978-3-031-43996-4_13"},{"key":"3138_CR30","doi-asserted-by":"publisher","unstructured":"Edgar H, Daneshvari\u00a0Berry S, Moes E, Adolphi N, Bridges P, Nolte K (2020) New Mexico Decedent Image Database. Office of the Medical Investigator, University of New Mexico. https:\/\/doi.org\/10.25827\/5s8c-n515","DOI":"10.25827\/5s8c-n515"},{"key":"3138_CR31","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/978-3-030-00937-3_12","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2018","author":"M Unberath","year":"2018","unstructured":"Unberath M, Zaech J-N, Lee SC, Bier B, Fotouhi J, Armand M, Navab N (2018) Deepdrr - a catalyst for machine learning in fluoroscopy-guided procedures. In: Frangi AF, Schnabel JA, Davatzikos C, Alberola-L\u00f3pez C, Fichtinger G (eds) Medical Image Computing and Computer Assisted Intervention - MICCAI 2018. Springer, Cham, pp 98\u2013106"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-024-03138-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-024-03138-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-024-03138-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T11:26:16Z","timestamp":1718364376000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-024-03138-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,20]]},"references-count":31,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["3138"],"URL":"https:\/\/doi.org\/10.1007\/s11548-024-03138-7","relation":{},"ISSN":["1861-6429"],"issn-type":[{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,20]]},"assertion":[{"value":"4 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Johns Hopkins University Institutional Review Board (HIRB00017105).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"All subjects gave their informed consent for inclusion before they participated in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}