{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,4]],"date-time":"2026-01-04T02:52:15Z","timestamp":1767495135154},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,28]]},"abstract":"<jats:p>Scoliosis is a 3D deformation of the spinal column, characterized by a lateral deviation of the spine, accompanied by axial rotation of the vertebrae. Adolescent Idiopathic Scoliosis (AIS), is the most common type, affecting children between ages 8 to 18 when bone growth is at its maximum rate. The selection of the most appropriate treatment options is based on the surgeon\u2019s experience. So, developing a clinically validated patient-specific model of the spine would aid surgeons in understanding AIS in early stages and propose an efficient method of treatment for the individual patient. This project steps include: Developing a clinically validated patient-specific Reduced Order Finite Element Model (ROFEM) of the spine, predicting AIS progression using data mining and proposing a method of treatment. First we implement FE synergistically with bio-mechanical information, image processing and data science techniques to improve predictive ability. Initial geometry of the spine will be extracted from the x-ray images from different planes and imported to FEM software to generate the spine model and perform analysis. A RO model is developed based on the detailed spinal FEM. Next, a neural network is used to predict the spinal curvature. The ability to predict the severity of AIS will have an immense impact on the treatment of AIS-affected children. Access to a predictive and patient-specific model will enable the physicians to have a better understanding of spinal curvature progression. Consequently, the physicians will be able to educate families, choose the most appropriate treatment option and asses for surgical intervention.<\/jats:p>","DOI":"10.3233\/shti210453","type":"book-chapter","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T12:57:43Z","timestamp":1625057863000},"source":"Crossref","is-referenced-by-count":3,"title":["Artificial intelligence data-driven 3D model for AIS"],"prefix":"10.3233","author":[{"given":"M","family":"Tajdari","sequence":"first","affiliation":[{"name":"Northwestern University McCormick School of Engineering, Evanston, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A","family":"Maqsood","sequence":"additional","affiliation":[{"name":"Ann & Robert H. Lurie Children\u2019s Hospital of Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H","family":"Li","sequence":"additional","affiliation":[{"name":"Northwestern University McCormick School of Engineering, Evanston, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S","family":"Saha","sequence":"additional","affiliation":[{"name":"Northwestern University McCormick School of Engineering, Evanston, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JF","family":"Sarwark","sequence":"additional","affiliation":[{"name":"Ann & Robert H. Lurie Children\u2019s Hospital of Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WK","family":"Liu","sequence":"additional","affiliation":[{"name":"Northwestern University McCormick School of Engineering, Evanston, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Research into Spinal Deformities 9"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:23:11Z","timestamp":1635168191000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210453"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,28]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210453","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,28]]}}}