{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T06:36:03Z","timestamp":1793255763717,"version":"4.5.0"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T00:00:00Z","timestamp":1726963200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100022242","name":"Botnar Research Centre for Child Health, University of Basel","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100022242","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008375","name":"Universit\u00e4t Basel","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008375","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["205321_205008"],"award-info":[{"award-number":["205321_205008"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Orthod Craniofacial Res"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To evaluate the performance of smartphone scanning applications (apps) in acquiring 3D meshes of cleft palate models. Secondarily, to validate a machine learning (ML) tool for computing automated presurgical plate (PSP).<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>We conducted a comparative analysis of two apps on 15 cleft palate models: five unilateral cleft lip and palate (UCLP), five bilateral cleft lip and palate (BCLP) and five isolated cleft palate (ICP). The scans were performed with and without a mirror to simulate intraoral acquisition. The 3D reconstructions were compared to control reconstructions acquired using a professional intraoral scanner using open\u2010source software.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Thirty 3D scans were acquired by each app, totalling 60 scans. The main findings were in the UCLP sample, where the KIRI scans without a mirror (0.22\u2009\u00b1\u20090.03\u2009mm) had a good performance with a deviation from the ground truth comparable to the control group (0.14\u2009\u00b1\u20090.13\u2009mm) (<jats:italic>p<\/jats:italic>\u2009=\u2009.653). Scaniverse scans with a mirror showed the lowest accuracy of all the samples. The ML tool was able to predict the landmarks and automatically generate the plates, except in ICP models. KIRI scans' plates showed better performance with (0.22\u2009\u00b1\u20090.06\u2009mm) and without mirror (0.18\u2009\u00b1\u20090.05\u2009mm), being comparable with controls (0.16\u2009\u00b1\u20090.08\u2009mm) (<jats:italic>p<\/jats:italic>\u2009=\u2009.954 and <jats:italic>p<\/jats:italic>\u2009=\u2009.439, respectively).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>KIRI Engine performed better in scanning UCLP models without a mirror. The ML tool showed a high capability for morphology recognition and automated PSP generation.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ocr.12859","type":"journal-article","created":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T12:55:34Z","timestamp":1727009734000},"page":"166-174","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Smartphone\u2010based scans of palate models of newborns with cleft lip and palate: Outlooks for three\u2010dimensional image capturing and machine learning plate tool"],"prefix":"10.1111","volume":"28","author":[{"given":"Jos\u00e9 Wittor de Mac\u00eado","family":"Santos","sequence":"first","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery and Maxillofacial Prosthodontics School of Dentistry, Federal University of Pelotas  Pelotas Rio Grande do Sul Brazil"},{"name":"Department of Oral and Craniomaxillofacial Surgery University Hospital Basel and University Children's Hospital Basel  Basel Switzerland"},{"name":"Facial and Cranial Anomalies Research Group, Department of Biomedical Engineering and Department of Clinical Research University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas Albert","family":"Mueller","sequence":"additional","affiliation":[{"name":"Department of Oral and Craniomaxillofacial Surgery University Hospital Basel and University Children's Hospital Basel  Basel Switzerland"},{"name":"Facial and Cranial Anomalies Research Group, Department of Biomedical Engineering and Department of Clinical Research University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benito K.","family":"Benitez","sequence":"additional","affiliation":[{"name":"Department of Oral and Craniomaxillofacial Surgery University Hospital Basel and University Children's Hospital Basel  Basel Switzerland"},{"name":"Facial and Cranial Anomalies Research Group, 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