Clinically applicable artificial intelligence system for dental diagnosis with CBCT

Abstract In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical setting. The system consists of 5 modules: ROI-localization-module (segmentation of teeth and jaws), tooth-localization and numeration-module, periodontitis-module, caries-localization-module, and periapical-lesion-localization-module. These modules use CNN based on state-of-the-art architectures. In total, 1346 CBCT scans were used to train the modules. After annotation and model development, the AI system was tested for diagnostic capabilities of the Diagnocat AI system. 24 dentists participated in the clinical evaluation of the system. 30 CBCT scans were examined by two groups of dentists, where one group was aided by Diagnocat and the other was unaided. The results for the overall sensitivity and specificity for aided and unaided groups were calculated as an aggregate of all conditions. The sensitivity values for aided and unaided groups were 0.8537 and 0.7672 while specificity was 0.9672 and 0.9616 respectively. There was a statistically significant difference between the groups (p = 0.032). This study showed that the proposed AI system significantly improved the diagnostic capabilities of dentists

18 Years of Medication-Related Osteonecrosis of the Jaw (MRONJ) Research: Where Are We Now?—An Umbrella Review

From MDPI via Jisc Publications RouterHistory: accepted 2021-09-16, pub-electronic 2021-09-23Publication status: PublishedBackground: Osteonecrosis of the jaw (ONJ) is a condition affecting patients exposed to medications used to treat benign and malignant conditions of bone tissue. Many studies have highlighted that ONJ is a severe condition, which is very challenging to manage, especially in individuals with oncologic disease. The aim of this umbrella review is to analyze all available interventional and non-interventional systematic reviews published on medication-related osteonecrosis of the jaw (MRONJ) and summarize this evidence. Material and methods: A multi-database search (PubMed, MEDLINE, EMBASE and CINAHL) was performed to identify related multi-language papers published from January 2003 until June 2021. An additional manual search was also performed in systematic review registries (PROSPERO, INPLASY, JBI and OFS) to identify possible missing reviews. Data were extracted from relevant papers and analyzed according to the outcomes selected in this review. Results: The search generated 25 systematic reviews eligible for the analysis. The total number of patients included in the analysis was 80,840. Of the reviews, 64% (n = 16) were non-interventional and 36% (n = 9) were interventional. Study designs included case series 20.50% (n = 140), retrospective cohort studies 12.30% (n = 84) and case reports 12.20% (n = 83). It was unclear what study design was used for 277 studies included in the 25 systematic reviews. Conclusions: The data reviewed confirmed that the knowledge underpinning MRONJ in the last 20 years is still based on weak evidence. This umbrella review highlighted a widespread low-level quality of studies and many poorly designed reviews