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