{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T17:16:14Z","timestamp":1791998174698,"version":"4.4.0"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T00:00:00Z","timestamp":1707436800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T00:00:00Z","timestamp":1707436800000},"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":["Spine Deform"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s43390-024-00825-y","type":"journal-article","created":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T22:01:41Z","timestamp":1707516101000},"page":"755-761","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Spine surgeon versus AI algorithm full-length radiographic measurements: a validation study of complex adult spinal deformity patients"],"prefix":"10.1007","volume":"12","author":[{"given":"Jason J.","family":"Haselhuhn","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul Brian O.","family":"Soriano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priyanka","family":"Grover","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel","family":"Dreischarf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1244-2685","authenticated-orcid":false,"given":"Kari","family":"Odland","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan R.","family":"Hendrickson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristen E.","family":"Jones","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher T.","family":"Martin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan N.","family":"Sembrano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"David W.","family":"Polly","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,9]]},"reference":[{"issue":"6","key":"825_CR1","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1177\/2192568220934486","volume":"11","author":"BP Hirsch","year":"2021","unstructured":"Hirsch BP, Vaynrub M, Siow M et al (2021) Visualization of the cervicothoracic junction with EOS imaging is superior to conventional lateral cervical radiographs. Global Spine J 11(6):925\u2013930","journal-title":"Global Spine J"},{"issue":"8","key":"825_CR2","doi-asserted-by":"publisher","first-page":"1943","DOI":"10.1007\/s00586-022-07309-5","volume":"31","author":"P Grover","year":"2022","unstructured":"Grover P, Siebenwirth J, Caspari C et al (2022) Can artificial intelligence support or even replace physicians in measuring sagittal balance? A validation study on preoperative and postoperative full spine images of 170 patients. Eur Spine J 31(8):1943\u20131951","journal-title":"Eur Spine J"},{"issue":"6","key":"825_CR3","doi-asserted-by":"publisher","first-page":"893","DOI":"10.3171\/2022.5.SPINE22109","volume":"37","author":"LD Orosz","year":"2022","unstructured":"Orosz LD, Bhatt FR, Jazini E et al (2022) Novel artificial intelligence algorithm: an accurate and independent measure of spinopelvic parameters. J Neurosurg Spine 37(6):893\u2013901","journal-title":"J Neurosurg Spine"},{"key":"825_CR4","doi-asserted-by":"crossref","first-page":"3328","DOI":"10.1007\/s00586-021-07017-6","volume":"30","author":"J L\u00f6chel","year":"2021","unstructured":"L\u00f6chel J, Putzier M, Dreischarf M et al (2021) Evaluation of artificial intelligence based image analysis of sagittal profile. Eur Spine J 30:3328\u20133414","journal-title":"Eur Spine J"},{"key":"825_CR5","doi-asserted-by":"publisher","first-page":"100968","DOI":"10.1016\/j.bas.2022.100968","volume":"2","author":"S Vogt","year":"2022","unstructured":"Vogt S, Scholl C, Grover P et al (2022) Validation of a novel artificial intelligence-based algorithm for the automatic measurement of cervical sagittal balance parameters on pre-and post-operative radiographs. Brain Spine 2:100968","journal-title":"Brain Spine"},{"key":"825_CR6","doi-asserted-by":"crossref","first-page":"219256822311545","DOI":"10.1177\/21925682231154543","volume":"28","author":"C Berlin","year":"2023","unstructured":"Berlin C, Adomeit S, Grover P et al (2023) Novel ai-based algorithm for the automated computation of coronal parameters in adolescent idiopathic scoliosis patients: a validation study on 100 preoperative full spine X-rays. Glob Spine J 28:21925682231154544","journal-title":"Glob Spine J"},{"issue":"1","key":"825_CR7","doi-asserted-by":"publisher","first-page":"53","DOI":"10.3171\/2021.2.SPINE201921","volume":"36","author":"CT Martin","year":"2021","unstructured":"Martin CT, Polly DW, Holton KJ et al (2021) Acute failure of S2-alar-iliac screw pelvic fixation in adult spinal deformity: novel failure mechanism, case series, and review of the literature. J Neurosurg Spine 36(1):53\u201361","journal-title":"J Neurosurg Spine"},{"key":"825_CR8","doi-asserted-by":"crossref","unstructured":"He K, Gkioxari G, Doll\u00e1r P, et al (2017) Mask r-cnn. In: Proceedings of the IEEE international conference on computer vision 2017. pp. 2961\u20132969","DOI":"10.1109\/ICCV.2017.322"},{"key":"825_CR9","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox T (2015) U-net: convolutional networks for biomedical image segmentation. In: medical image computing and computer-assisted intervention\u2014MICCAI 2015: 18th International Conference, Munich, Germany, October 5\u20139, 2015, Proceedings, Part III 18 2015. Springer International Publishing, pp. 234\u2013241","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"825_CR10","unstructured":"Zhang H, Cisse M, Dauphin YN, et al (2017) mixup: beyond empirical risk minimization. arXiv preprint arXiv:1710.09412"},{"key":"825_CR11","unstructured":"Contributors PS (2020) Model zoo. https:\/\/pytorch.org\/serve\/model_zoo.html. Accessed 18 Aug 2023"},{"issue":"4","key":"825_CR12","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1037\/1040-3590.6.4.284","volume":"6","author":"DV Cicchetti","year":"1994","unstructured":"Cicchetti DV (1994) Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess 6(4):284","journal-title":"Psychol Assess"},{"key":"825_CR13","doi-asserted-by":"publisher","first-page":"E640","DOI":"10.1097\/BRS.0000000000000904","volume":"40","author":"K Yamada","year":"2015","unstructured":"Yamada K, Aota Y, Higashi T et al (2015) Accuracies in measuring spinopelvic parameters in full-spine lateral standing radiograph. Spine 40:E640\u2013E646","journal-title":"Spine"},{"issue":"2","key":"825_CR14","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s00586-021-07024-7","volume":"31","author":"CM Lee","year":"2022","unstructured":"Lee CM, Liu RW (2022) Comparison of pelvic incidence measurement using lateral x-ray, standard CT versus CT with 3d reconstruction. Eur Spine J 31(2):241\u2013247","journal-title":"Eur Spine J"},{"issue":"5","key":"825_CR15","doi-asserted-by":"publisher","first-page":"875","DOI":"10.14444\/8344","volume":"16","author":"AC \u0130plik\u00e7io\u011flu","year":"2022","unstructured":"\u0130plik\u00e7io\u011flu AC, Karaba\u011f H (2022) Validity and reliability of spinopelvic parameters measured on computed tomography. Int J Spine Surg 16(5):875\u2013880","journal-title":"Int J Spine Surg"},{"issue":"1","key":"825_CR16","doi-asserted-by":"publisher","first-page":"E22","DOI":"10.1097\/BRS.0000000000001216","volume":"41","author":"M Gupta","year":"2016","unstructured":"Gupta M, Henry JK, Schwab F et al (2016) Dedicated spine measurement software quantifies key spino-pelvic parameters more reliably than traditional picture archiving and communication systems tools. Spine 41(1):E22\u2013E27","journal-title":"Spine"},{"issue":"2","key":"825_CR17","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/s00586-006-0090-3","volume":"16","author":"J Legaye","year":"2007","unstructured":"Legaye J (2007) The femoro-sacral posterior angle: an anatomical sagittal pelvic parameter usable with dome-shaped sacrum. Eur Spine J 16(2):219\u2013225","journal-title":"Eur Spine J"},{"issue":"1","key":"825_CR18","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/s13018-018-1050-4","volume":"14","author":"HF Chen","year":"2019","unstructured":"Chen HF, Mi J, Zhang HH, Zhao CQ (2019) Pelvic incidence measurement using a computed tomography data-based three-dimensional pelvic model. J Orthop Surg Res 14(1):13","journal-title":"J Orthop Surg Res"},{"issue":"24","key":"825_CR19","doi-asserted-by":"publisher","first-page":"1901","DOI":"10.1097\/BRS.0000000000002256","volume":"42","author":"HD Lee","year":"2017","unstructured":"Lee HD, Jeon CH, Chung NS, Kwon HJ (2017) Comparative analysis of three imaging modalities for evaluation of cervical sagittal alignment parameters: a validity and reliability study. Spine 42(24):1901\u20131907","journal-title":"Spine"},{"issue":"9","key":"825_CR20","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1007\/s00402-017-2757-0","volume":"137","author":"SA Park","year":"2017","unstructured":"Park SA, Kwak DS, Cho HJ, Min DU (2017) Changes of spinopelvic parameters in different positions. Arch Orthop Trauma Surg 137(9):1223\u20131232","journal-title":"Arch Orthop Trauma Surg"}],"container-title":["Spine Deformity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s43390-024-00825-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s43390-024-00825-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s43390-024-00825-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T13:21:31Z","timestamp":1714742491000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s43390-024-00825-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,9]]},"references-count":20,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["825"],"URL":"https:\/\/doi.org\/10.1007\/s43390-024-00825-y","relation":{},"ISSN":["2212-134X","2212-1358"],"issn-type":[{"value":"2212-134X","type":"print"},{"value":"2212-1358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,9]]},"assertion":[{"value":"22 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 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":"CM has consultancies to Medtronic, institutional research support from SI-Bone, and industry funding to travel to cadaveric surgical training sessions from Medtronic, NuVasive, and Accutech, and KF Degenerative committee member for AO Spine. KJ has consultancies with SI Bone and Medtronic. JS receives support of non-study-related clinical or research effort from Orthofix, NuVasive, and AO Spine. DP has consultancies with SI-Bone, Springer textbook (royalties), Medtronic (royalties), and Globus Medical (royalties) and has received research support from MizuhoOSI and Medtronic. NH, JH, PS, PG, JH, and MD have nothing to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Institutional review board (IRB) approval for this project was obtained from the University of Minnesota.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval\/review"}}]}}