Classification of jawbone cysts via orthopantomogram processing

The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

“…The 50 studies reporting applications of AI models to analyze 2D/3D images in the dental and maxillofacial region covered a period from November 1992 to January 2019 ( Figure 2). In these studies, six [27][28][29][30][31][32] used periapical radiographs,14 [33][34][35][36][37][38][39][40][41][42][43][44][45][46] used panoramic radiographs, one 47 used both intraoral and panoramic radiographs, ten [48][49][50][51][52][53][54][55][56][57] The Use and Performance of AI Applications in DMFR Hung et al used cephalometric radiographs, 14 [58][59][60][61][62][63][64][65][66][67][68][69][70][71] used CBCT images, one 72 used intraoral photographs, one…”

“…Additionally, there are two studies that used 3D images (CT/ MRI) 75 and cephalometric radiographs 76 to test the performance of an available computer-aided diagnostic software ( Table 2). With regard to the applications of these AI models, 19 [48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65]75 reported on localization/measurement of cephalometric landmarks, nine [35][36][37][38][39][40][41][42][43] on diagnosis of osteoporosis, six 33,34,[67][68][69]76 on classification/segmentation of maxillofacial cysts and/or tumors, three [27][28][29] on identification of alveolar bone resorption, three 30,31,66 on classification of periapical lesions, two 47,74 on the diagnosis of multiple dental diseases, and two 46,72 on classification of tooth types. Furthermore, single studies were found for the identification of root canals,…”

“…With regard to the methods used for validating the performance of the AI models, 13 studie s 29,32,35,39,42,46,51,57,65,70,[72][73][74] used split sample validation, ten 28,30,41,48,50,52,54,62,63,66 used leave-one-out cross-validation (LOOCV), two 34,68 used 3-fold cross-validation (CV), one 56 used 4-fold CV, three 38,40,44 used 5-fold CV, three 33,36,47 used 10-fold CV, one 43 used out-of-bag estimate, 12 31,45,49,55,[58][59][60][61]64,71,75,76 used independent sample validation, three 27,37,75 used multiple validation techniques, and two 53,67 did not describe the validat...…”

“…Nine studies [35][36][37][38][39][40][41][42][43] regarding the diagnosis of osteoporosis reported accuracy, sensitivity, specificity, positive/negative predictive value (PPV/NPV), likelihood ratios, and/or area under the receiver operating characteristic curve (AUC) ( Table 4). The remaining 22 studies [27][28][29][30][31][32][33][34][44][45][46][47][66][67][68][69][70][71][72][73][74]76 reported accuracy, sensitivity, specificity, AUC, mean difference from reference, and/or correlation against reference ( Table 5).…”

Identificação de regiões císticas dentárias em imagens de radiografia panorâmica utilizando algoritmos de segmentação e classificação por textura

“…Os cistos são clinicamente definidos como cavidades patológicas, possuem cápsula, epitélio e são conhecidos por apresentar preenchimento líquido ou mole, semelhantes a sacos ou bolsas. A parede do cisto atua como uma membrana semipermeável, permeável na direção do líquido e não permeável na direção externa sólida, isso permite que seu crescimento seja expansivo (Mikulka et al 2012).…”