Efficacy of artificial intelligence in the detection of periodontal bone loss and classification of periodontal diseases: A systematic review

J Am Dent Assoc.2023 Jul 14;S0002-8177(23)00320-3. doi: 10.1016/j.adaj.2023.05.010. Online ahead of print. Abstract Background: Artificial intelligence (AI) can aid in the diagnosis and treatment planning of periodontal disease by means of reducing subjectivity. This systematic review aimed to evaluate the efficacy of AI models in detecting radiographic periodontal bone loss (PBL) and accuracy in classifying lesions. Types of studies reviewed: The authors conducted an electronic search of PubMed, Scopus, and Web of Science for articles published through August 2022. Articles evaluating the efficacy of AI in determining PBL were included. The authors assessed the articles using the Quality Assessment for Studies of Diagnostic Accuracy tool. They used the Grading of Recommendations Assessment, Development and Evaluation criteria to evaluate the certainty of evidence. Results: Of the 13 articles identified through electronic search, 6 studies met the inclusion criteria, using a variety of AI algorithms and different modalities, including panoramic and intraoral radiographs. Sensitivity, specificity, accuracy, and pixel accuracy were the outcomes measured. Although some studies found no substantial difference between AI and dental clinicians ' performance, others showed AI ' s superiority in detecting PBL. Evidence suggests that AI has the potential to aid in the detection of PBL and classification of periodontal di...
Source: Dental Technology Blog - Category: Dentistry Source Type: news