Artificial Intelligence in the Diagnosis and Assessment of Periodontitis: A Systematic Review

Abstract

The present systematic review aimed to evaluate the utilisation of artificial intelligence (AI) across several aspects of periodontal diagnosis and treatment planning by studying and analysing recent literature on the assessment of periodontitis through various radiographic analysis models using AI. The databases including PubMed, Cochrane, ScienceDirect, and Google Scholar were searched from 1st June to August 2024. From the shortlisted studies, 15 original research articles were included in the review and were assessed for risk of bias using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool by the Cochrane Collaboration as a quality evaluation tool. All the models showed comparable sensitivity compared to that of examiners. AI can serve as a time-saving aid for clinicians; however, further studies are required using well-defined and accepted gold standard, applied in clinical setting with datasets of intraoral periapical series.