{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T17:32:46Z","timestamp":1793295166337,"version":"4.5.0"},"reference-count":65,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T00:00:00Z","timestamp":1790035200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T00:00:00Z","timestamp":1790035200000},"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":["Journal of Prosthodontics"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To critically assess artificial intelligence (AI)\u2010based radiographic models for quantitative measurement, localization\/detection, segmentation\/keypoints, diagnostic classification, and severity or morphology assessment of peri\u2010implant marginal bone loss (MBL) and peri\u2010implantitis\u2010related bone defects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>PubMed\/MEDLINE, Scopus, Web of Science, Embase, the Cochrane Library, Google Scholar, and reference lists were searched from inception through August 11, 2026. Eligible original studies evaluated AI\u2010based radiographic assessment of existing dental implants. Quality Assessment of Diagnostic Accuracy Studies\u20103 (QUADAS\u20103) was applied at the prespecified estimate level for diagnostic\/image\u2010analysis studies and PROBAST for the prediction\u2010model study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 1485 records were identified, and 17 studies were included. Fourteen reported localization\/detection outcomes, six segmentation\/keypoint outcomes, 10 severity\/morphology outcomes, 12 diagnostic\/classification outcomes, and six direct AI\u2013clinician comparisons; categories overlapped. Implant\/peri\u2010implant tissue detection reached precision of 0.977, recall of 0.992, F1 score of 0.984, and mean intersection over union (IoU) of 0.916. Implant segmentation achieved a Dice of 0.986 and IoU of 0.974, whereas downstream peri\u2010implantitis classification precision was 0.777. Sensitivity across diagnostic\/prediction tasks ranged from approximately 66% to 96%. No study reported the complete prespecified absolute MBL measurement\u2010agreement outcome set. Six studies used explicitly independent multi\u2010rater reference standards with consensus and\/or reported reliability, and none underwent clearly traceable independent multicenter external validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Reported performance is task\u2010specific and is frequently derived from retrospectively selected, enriched, internally split, or augmented datasets. Current models may support research and carefully supervised radiographic image\u2010analysis tasks, but none can be recommended for routine clinical use until independent multicenter external validation and prospective studies demonstrate clinically acceptable absolute measurement error and patient\u2010relevant benefit.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jopr.70245","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T07:26:07Z","timestamp":1790061967000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Artificial intelligence in radiographic quantification and severity assessment of peri\u2010implant marginal bone loss: A systematic review"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0542-2096","authenticated-orcid":false,"given":"Hooman","family":"Khanzadeh","sequence":"first","affiliation":[{"name":"Research Institute for Dental Sciences Shahid Beheshti University of Medical Sciences  Tehran Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanaz","family":"Azizigermi","sequence":"additional","affiliation":[{"name":"Faculty of Dentistry Department of Prosthodontics University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1612-1571","authenticated-orcid":false,"given":"Aida","family":"Mokhlesi","sequence":"additional","affiliation":[{"name":"Research Committee Qazvin University of Medical Sciences  Qazvin Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0792-5994","authenticated-orcid":false,"given":"Rasoul","family":"Gheisari","sequence":"additional","affiliation":[{"name":"Oral and Maxillofacial Surgeon Private Practice Shiraz Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1751-9207","authenticated-orcid":false,"given":"G\u00fclce","family":"\u00c7akmak","sequence":"additional","affiliation":[{"name":"Department of Prosthodontics Geriatric Dentistry and Craniomandibular Disorders Charit\u00e9\u2014Universit\u00e4tsmedizin  Berlin Germany"},{"name":"Department of Reconstructive Dentistry and Gerodontology School of Dental Medicine University of Bern  Bern Switzerland"},{"name":"Department of Prosthodontics Faculty of Dentistry Biruni University  Istanbul Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5493-0295","authenticated-orcid":false,"given":"Pedro","family":"Molinero\u2010Mourelle","sequence":"additional","affiliation":[{"name":"Department of Reconstructive Dentistry and Gerodontology School of Dental Medicine University of Bern  Bern Switzerland"},{"name":"Department of Conservative Dentistry and Prosthodontics Faculty of Dentistry University Complutense of Madrid  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8079-0860","authenticated-orcid":false,"given":"Andrea","family":"Roccuzzo","sequence":"additional","affiliation":[{"name":"Shanghai Perio\u2010Implant Innovation Center Institute of Integrated Oral, Craniofacial and Sensory Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine  Shanghai China"},{"name":"College of Stomatology Shanghai Jiao Tong University, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology  Shanghai China"},{"name":"Department of Periodontology School of Dental Medicine, University of Bern  Bern Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6963-8289","authenticated-orcid":false,"given":"Seyed Ali","family":"Mosaddad","sequence":"additional","affiliation":[{"name":"Department of Conservative Dentistry and Prosthodontics Faculty of Dentistry University Complutense of Madrid  Madrid Spain"},{"name":"Department of Research Analytics Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University  Chennai India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,22]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1111\/prd.12577","article-title":"Radiographic assessment of the peri\u2010implant site","volume":"95","author":"Sahrmann P","year":"2024","journal-title":"Periodontol 2000."},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1111\/prd.12584","article-title":"Diagnostic methods\/parameters to monitor peri\u2010implant conditions","volume":"95","author":"Monje 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