{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:27:33Z","timestamp":1781796453925,"version":"3.54.5"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T00:00:00Z","timestamp":1721692800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T00:00:00Z","timestamp":1721692800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"crossref","award":["543780-19"],"award-info":[{"award-number":["543780-19"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Spinologics, Inc."}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"DOI":"10.1007\/s11548-024-03237-5","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T18:05:05Z","timestamp":1721757905000},"page":"1983-1990","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations"],"prefix":"10.1007","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2806-1473","authenticated-orcid":false,"given":"Renzo","family":"Phellan Aro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bahe","family":"Hachem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Clin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Marc","family":"Mac-Thiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luc","family":"Duong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,23]]},"reference":[{"key":"3237_CR1","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.compbiomed.2014.02.015","volume":"48","author":"KC Assi","year":"2014","unstructured":"Assi KC, Labelle H, Cheriet F (2014) Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning. Comput Biol Med 48:85\u201393","journal-title":"Comput Biol Med"},{"issue":"1","key":"3237_CR2","first-page":"1","volume":"1","author":"JC Cheng","year":"2015","unstructured":"Cheng JC, Castelein RM, Chu WC, Danielsson AJ, Dobbs MB, Grivas TB, Gurnett CA, Luk KD, Moreau A, Newton PO (2015) Adolescent idiopathic scoliosis. Nat Rev Dis Primers 1(1):1\u201321","journal-title":"Nat Rev Dis Primers"},{"issue":"6","key":"3237_CR3","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.jspd.2013.07.009","volume":"1","author":"A Jalalian","year":"2013","unstructured":"Jalalian A, Gibson I, Tay EH (2013) Computational biomechanical modeling of scoliotic spine: challenges and opportunities. Spine Deform 1(6):401\u2013411","journal-title":"Spine Deform"},{"key":"3237_CR4","doi-asserted-by":"publisher","first-page":"117","DOI":"10.3389\/fphy.2019.00117","volume":"7","author":"Y Dabiri","year":"2019","unstructured":"Dabiri Y, Velden AVD, Sack KL, Choy JS, Kassab GS, Guccione J (2019) Prediction of left ventricular mechanics using machine learning. Front Phys 7:117","journal-title":"Front Phys"},{"key":"3237_CR5","doi-asserted-by":"publisher","first-page":"113083","DOI":"10.1016\/j.eswa.2019.113083","volume":"143","author":"OJ Pellicer-Valero","year":"2020","unstructured":"Pellicer-Valero OJ, Rup\u00e9rez MJ, Mart\u00ednez-Sanchis S, Mart\u00edn-Guerrero JD (2020) Real-time biomechanical modeling of the liver using machine learning models trained on finite element method simulations. Expert Syst Appl 143:113083","journal-title":"Expert Syst Appl"},{"issue":"4","key":"3237_CR6","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1002\/rcs.1493","volume":"9","author":"A Jahya","year":"2013","unstructured":"Jahya A, Herink M, Misra S (2013) A framework for predicting three-dimensional prostate deformation in real time. Int J Med Robot Comput Assist Surg 9(4):52\u201360","journal-title":"Int J Med Robot Comput Assist Surg"},{"key":"3237_CR7","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.compbiomed.2018.09.029","volume":"103","author":"E Garc\u00eda-Cano","year":"2018","unstructured":"Garc\u00eda-Cano E, Cos\u00edo FA, Duong L, Bellefleur C, Roy-Beaudry M, Joncas J, Parent S, Labelle H (2018) Prediction of spinal curve progression in adolescent idiopathic scoliosis using random forest regression. Comput Biol Med 103:34\u201343","journal-title":"Comput Biol Med"},{"issue":"9","key":"3237_CR8","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1097\/BRS.0b013e3181bdcaa4","volume":"35","author":"S Desch\u00eanes","year":"2010","unstructured":"Desch\u00eanes S, Charron G, Beaudoin G, Labelle H, Dubois J, Miron M-C, Parent S (2010) Diagnostic imaging of spinal deformities: reducing patients radiation dose with a new slot-scanning x-ray imager. Spine 35(9):989\u2013994","journal-title":"Spine"},{"key":"3237_CR9","doi-asserted-by":"publisher","first-page":"105326","DOI":"10.1016\/j.clinbiomech.2021.105326","volume":"84","author":"E Taleghani","year":"2021","unstructured":"Taleghani E, Singh A, Hachem B, Benoit D, Rustagi R, Vithoulkas G, Mac-Thiong J-M, Syed H (2021) Finite element assessment of a disc-replacement implant for treating scoliotic deformity. Clin Biomech 84:105326","journal-title":"Clin Biomech"},{"issue":"2","key":"3237_CR10","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.jbiomech.2003.10.003","volume":"37","author":"MG Gardner-Morse","year":"2004","unstructured":"Gardner-Morse MG, Stokes IA (2004) Structural behavior of human lumbar spinal motion segments. J Biomech 37(2):205\u2013212","journal-title":"J Biomech"},{"issue":"4","key":"3237_CR11","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1002\/jor.1100100412","volume":"10","author":"TR Oxland","year":"1992","unstructured":"Oxland TR, Lin R-M, Panjabi MM (1992) Three-dimensional mechanical properties of the thoracolumbar junction. J Orthop Res 10(4):573\u2013580","journal-title":"J Orthop Res"},{"key":"3237_CR12","unstructured":"Hinton GE, Zemel RS (1994) Autoencoders, minimum description length and Helmholtz free energy. Adv Neural Inf Process Syst 6:3\u201310"},{"issue":"1\u20133","key":"3237_CR13","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold S, Esbensen K, Geladi P (1987) Principal component analysis. Chemom Intell Lab Syst 2(1\u20133):37\u201352","journal-title":"Chemom Intell Lab Syst"},{"key":"3237_CR14","volume-title":"Deep Learning with Python","author":"F Chollet","year":"2021","unstructured":"Chollet F (2021) Deep Learning with Python. Simon and Schuster, Shelter Island"},{"key":"3237_CR15","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: machine Learning in Python. J Mach Learn Res 12:2825\u20132830","journal-title":"J Mach Learn Res"},{"issue":"2","key":"3237_CR16","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s12021-013-9204-3","volume":"12","author":"B Mwangi","year":"2014","unstructured":"Mwangi B, Tian TS, Soares JC (2014) A review of feature reduction techniques in neuroimaging. Neuroinformatics 12(2):229\u2013244","journal-title":"Neuroinformatics"},{"key":"3237_CR17","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","volume":"42","author":"G Litjens","year":"2017","unstructured":"Litjens G, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M, Van Der Laak JA, Van Ginneken B, S\u00e1nchez CI (2017) A survey on deep learning in medical image analysis. Med Image Anal 42:60\u201388","journal-title":"Med Image Anal"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-024-03237-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-024-03237-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-024-03237-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:09:36Z","timestamp":1727716176000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-024-03237-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,23]]},"references-count":17,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["3237"],"URL":"https:\/\/doi.org\/10.1007\/s11548-024-03237-5","relation":{},"ISSN":["1861-6429"],"issn-type":[{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,23]]},"assertion":[{"value":"9 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 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 declared no potential conflict of interest with respect to the research, authorship, and\/or publication of this article. Bahe Hachem, Julien Clin, and Jean-Marc Mac-Thiong are employed by Spinologics Inc.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}