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The aim is to develop an automatic image processing approach based on two artificial intelligence (<jats:italic>AI<\/jats:italic>) techniques in intraoral (periapical and bitewing) radiographs to assist dentists in determining bone loss. The first is a deep learning (<jats:italic>DL<\/jats:italic>) object-detector (YOLOv3) to roughly identify (no exact localization is required) two objects: prosthesis (crown) and implant (screw). The second is an image understanding-based (<jats:italic>IU<\/jats:italic>) process to fine-tune lines on screw edges and to identify significant points (intensity bone changes, intersections between screw and crown). Distances between these points are used to compute bone loss. A total of 2920 radiographs were used for training (50%) and testing (50%) the <jats:italic>DL<\/jats:italic> process. The <jats:italic>mAP@0.5<\/jats:italic> metric is used for performance evaluation of <jats:italic>DL<\/jats:italic> considering periapical\/bitewing and screws\/crowns in upper and lower jaws, with scores ranging from 0.537 to 0.898 (sufficient because <jats:italic>DL<\/jats:italic> only needs an approximation). The <jats:italic>IU<\/jats:italic> performance is assessed with 50% of the testing radiographs through the <jats:italic>t<\/jats:italic> test statistical method, obtaining <jats:italic>p<\/jats:italic> values of 0.0106 (line fitting) and 0.0213 (significant point detection). The <jats:italic>IU<\/jats:italic> performance is satisfactory, as these values are in accordance with the statistical average\/standard deviation in pixels for line fitting (2.75\/1.01) and for significant point detection (2.63\/1.28) according to the expert criteria of dentists, who establish the ground-truth lines and significant points. In conclusion, <jats:italic>AI<\/jats:italic> methods have good prospects for automatic bone loss detection in intraoral radiographs to assist dental specialists in diagnosing peri-implantitis.<\/jats:p>","DOI":"10.1007\/s10278-023-00880-3","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T19:06:50Z","timestamp":1689793610000},"page":"2259-2277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs"],"prefix":"10.1007","volume":"36","author":[{"given":"Mar\u00eda","family":"Vera","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8506-1499","authenticated-orcid":false,"given":"Mar\u00eda Jos\u00e9","family":"G\u00f3mez-Silva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vicente","family":"Vera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clara I.","family":"L\u00f3pez-Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6937-173X","authenticated-orcid":false,"given":"Ignacio","family":"Aliaga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esther","family":"Gasc\u00f3","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9456-9203","authenticated-orcid":false,"given":"Vicente","family":"Vera-Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda","family":"Pedrera-Canal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6129-4653","authenticated-orcid":false,"given":"Eva","family":"Besada-Portas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0915-6282","authenticated-orcid":false,"given":"Gonzalo","family":"Pajares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,7,19]]},"reference":[{"key":"880_CR1","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1007\/s40496-020-00274-2","volume":"7","author":"D Hashim","year":"2020","unstructured":"Hashim D, Cionca, NA: Comprehensive review of peri-implantitis risk factors. 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