{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T17:24:14Z","timestamp":1786123454301,"version":"build-2736575974"},"reference-count":25,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:00:00Z","timestamp":1782172800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:00:00Z","timestamp":1782172800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Head &amp;amp; Neck"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Artificial intelligence (AI) applied to magnetic resonance imaging (MRI) may improve detection of cervical lymph node metastases in oral squamous cell carcinoma (OSCC) but is heterogeneous.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A systematic review identified observational studies (from 2000) evaluating AI\u2010based MRI in adults with histopathologically confirmed OSCC. Risk of bias was assessed with QUADAS\u2010AI. Diagnostic performance was synthesized using a hierarchical bivariate model. Publication bias and certainty of evidence were assessed using Deeks' test and GRADE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Twelve studies were included; seven datasets (548 participants) were meta\u2010analyzed. Pooled sensitivity was 0.72 (95% CI: 0.62\u20130.80) and specificity 0.79 (95% CI: 0.73\u20130.83), with AUC 0.82 and diagnostic odds ratio 9.42. Heterogeneity is mainly related to threshold effects. No significant publication bias was detected (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.536). Evidence certainty was low.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AI\u2010assisted MRI shows moderate diagnostic performance. Multicenter validation is required before clinical implementation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Clinical Relevance<\/jats:title>\n                    <jats:p>AI\u2010supported MRI may serve as an adjunctive tool to improve preoperative risk stratification of cervical lymph node metastasis in OSCC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hed.70367","type":"journal-article","created":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T07:48:37Z","timestamp":1782200917000},"page":"2557-2569","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence\u2013Driven\n                    <scp>MRI<\/scp>\n                    for Cervical Nodal Metastasis Detection in Oral Squamous Cell Carcinoma: A Hierarchical Meta\u2010Analysis of Diagnostic Accuracy"],"prefix":"10.1002","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4146-9134","authenticated-orcid":false,"given":"Jos\u00e9 Evando","family":"da Silva\u2010Filho","sequence":"first","affiliation":[{"name":"Faculty of Dentistry University of Fortaleza  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1685-8955","authenticated-orcid":false,"given":"Renata Roque","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Division of Dentistry, Faculty of Pharmacy, Dentistry and Nursing Federal University of Cear\u00e1  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5437-0945","authenticated-orcid":false,"given":"Andr\u00e9 Wescley Oliveira","family":"de Aguiar","sequence":"additional","affiliation":[{"name":"Center for Technological Sciences University of Fortaleza  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1740-2254","authenticated-orcid":false,"given":"Caio Marques","family":"Silva","sequence":"additional","affiliation":[{"name":"Center for Technological Sciences University of Fortaleza  Fortaleza Cear\u00e1 Brazil"},{"name":"Department of Teleinformatics, Center of Technology Federal University of Cear\u00e1  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6477-6997","authenticated-orcid":false,"given":"Daniela Pita","family":"de Melo","sequence":"additional","affiliation":[{"name":"College of Dentistry University of Saskatchewan  Saskatoon Saskatchewan Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2880-6466","authenticated-orcid":false,"given":"Karuza Maria Alves","family":"Pereira","sequence":"additional","affiliation":[{"name":"Division of Dentistry, Faculty of Pharmacy, Dentistry and Nursing Federal University of Cear\u00e1  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5691-3824","authenticated-orcid":false,"given":"Danielle Frota","family":"de Albuquerque","sequence":"additional","affiliation":[{"name":"Faculty of Dentistry University of Fortaleza  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3262-3347","authenticated-orcid":false,"given":"F\u00e1bio Wildson Gurgel","family":"Costa","sequence":"additional","affiliation":[{"name":"Division of Dentistry, Faculty of Pharmacy, Dentistry and Nursing Federal University of Cear\u00e1  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5772-446X","authenticated-orcid":false,"given":"Eduardo Diogo","family":"Gurgel\u2010Filho","sequence":"additional","affiliation":[{"name":"Faculty of Dentistry University of Fortaleza  Fortaleza Cear\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,23]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2024.1401211","article-title":"Histopathological Predictors of Lymph Node Metastasis in Oral Cavity Squamous Cell Carcinoma: A Systematic Review and Meta\u2010Analysis","volume":"14","author":"Alqutub A.","year":"2024","journal-title":"Frontiers in Oncology"},{"issue":"3","key":"e_1_2_12_3_1","first-page":"229","article-title":"Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"74","author":"Bray F.","year":"2024","journal-title":"CA: A Cancer Journal for 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