https://m2.mtmt.hu/ hun 2026-08-24 21:13 JournalArticle 35159919 VALIDATED true 0 false 2026-07-17T01:00:16.102+0000 2024-08-05T10:19:25.750+0000 2024-08-05T10:08:08.368+0000 true 10062250 Molnár-Taga Márta /api/admin/10062250 Admin true 10062250 2024-08-23T08:55:13.522+0000 2024-08-23T08:55:13.522+0000 2024-08-05T10:19:25.758+0000 true 10062250 Molnár-Taga Márta /api/admin/10062250 Admin true 10062250 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 1134514 Survey paper true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/1134514 Összefoglaló cikk SubType 102 true 1134514 true 1 /api/category/1 Category true 1 Kazimierczak, W. Accuracy of Artificial Intelligence for Cervical Vertebral Maturation Assessment—A Systematic Review true true /api/journal/10017543 REVIEWED true false 10017543 false 10017543 true 2077-0383 Journal FOREIGN 13 14 4047 4047 16 2024 Background/Objectives: To systematically review and summarize the existing scientific evidence on the diagnostic performance of artificial intelligence (AI) in assessing cervical vertebral maturation (CVM). This review aimed to evaluate the accuracy and reliability of AI algorithms in comparison to those of experienced clinicians. Methods: Comprehensive searches were conducted across multiple databases, including PubMed, Scopus, Web of Science, and Embase, using a combination of Boolean operators and MeSH terms. The inclusion criteria were cross-sectional studies with neural network research, reporting diagnostic accuracy, and involving human subjects. Data extraction and quality assessment were performed independently by two reviewers, with a third reviewer resolving any disagreements. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool was used for bias assessment. Results: Eighteen studies met the inclusion criteria, predominantly employing supervised learning techniques, especially convolutional neural networks (CNNs). The diagnostic accuracy of AI models for CVM assessment varied widely, ranging from 57% to 95%. The factors influencing accuracy included the type of AI model, training data, and study methods. Geographic concentration and variability in the experience of radiograph readers also impacted the results. Conclusions: AI has considerable potential for enhancing the accuracy and reliability of CVM assessments in orthodontics. However, the variability in AI performance and the limited number of high-quality studies suggest the need for further research. © 2024 by the authors. true 2024 true true true false false false GOLD 2026-07-17 true https://doi.org/10.3390/jcm13144047 12 0 12 12 0 12 12 12 8 12 12 12 12 12 0 0 12 12 12 12 0 0 0 Folyóiratcikk Journal Article 24 12 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2025 0 9 9 9 9 2026 0 3 3 3 3 Q1 false false false false 2024-08-04T10:18:42.901+0000 Orális Diagnosztikai Tanszék (SE / FOK) 1 4 1 9 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 118501160 /api/authorship/118501160 1 0.111 true false true Kazimierczak W. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501161 /api/authorship/118501161 2 0.11111111 false false false Jedliński M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501162 /api/authorship/118501162 3 0.11111111 false false false Issa J. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501163 /api/authorship/118501163 4 0.11111111 false false false Kazimierczak N. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501164 /api/authorship/118501164 5 0.11111111 false false false Janiszewska-Olszowska J. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501165 /api/authorship/118501165 6 0.11111111 false false false Dyszkiewicz-Konwińska M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501166 /api/authorship/118501166 7 0.11111111 false false false Różyło-Kalinowska I. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501167 /api/authorship/118501167 8 0.11111111 false false false Serafin Z. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118501168 /api/authorship/118501168 9 0.111 false true false Author 10092814 /api/author/10092814 Orhan Kaan true true Orhan K. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 26904451 /api/publicationidentifier/26904451 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.3390/jcm13144047 https://doi.org/10.3390/jcm13144047 false true PublicationIdentifier 26904452 /api/publicationidentifier/26904452 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001277176500001 https://www.webofscience.com/wos/woscc/full-record/001277176500001 false true PublicationIdentifier 26904450 /api/publicationidentifier/26904450 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85199909626 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85199909626 false true Keyword 12390 /api/keyword/12390 true 12390 true Keyword 1046320 /api/keyword/1046320 true 1046320 true Keyword 1320899 /api/keyword/1320899 true 1320899 true Keyword 1571028 /api/keyword/1571028 true true Keyword 3414756 /api/keyword/3414756 true true Keyword 3493145 /api/keyword/3493145 true true SjrRating 11482758 /api/sjrrating/11482758 607 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2701 /api/classificationexternal/2701 true 2701 true Q1 DIRECT true true /api/publication/35159919 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" >Kazimierczak W. ✉ </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Jedliński M. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Issa J. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Kazimierczak N. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Janiszewska-Olszowska J. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Dyszkiewicz-Konwińska M. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Różyło-Kalinowska I. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Serafin Z. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10092814"><a href="/gui2/?type=authors&mode=browse&sel=10092814" target="_blank">Orhan K. (<span class="authorship-author-name">Orhan Kaan</span> <span class="authorAux-mtmt"> Fogorvostudomány</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Fogorvostudományi Kar">FOK</span>/Orális Diagnosztikai Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35159919" target="_blank">Accuracy of Artificial Intelligence for Cervical Vertebral Maturation Assessment—A Systematic Review</a></div> <div> <span class="journal-title">JOURNAL OF CLINICAL MEDICINE</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2077-0383">2077-0383</a>)</span>: <span class="journal-volume">13</span> <span class="journal-issue">14</span> <span class="page"> Paper 4047. 16 p. </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/jcm13144047" target="_blank" href="https://doi.org/10.3390/jcm13144047"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001277176500001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001277176500001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85199909626" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85199909626"> Scopus </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Medicine (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 12</span> | Független: 12 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 12 | Scopus jelölt:&nbsp;8 | WoS/Scopus jelölt:&nbsp;12 | DOI jelölt:&nbsp;12 </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35159919</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás | <span class="type-subtype">Folyóiratcikk ( Összefoglaló cikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2024.08.05. 12:19 Molnár-Taga Márta (SE 4-es admin) </div> </div></div>