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GUIDELINES/RECOMMENDATIONS The review included 6 studies out of 13 identified articles, using various AI algorithms and different modalities, including panoramic and intraoral radiographs.
Artificial intelligence (AI) is increasingly being explored as a tool to aid in the diagnosis and treatment planning of periodontal disease. This systematic review evaluates the efficacy of AI models in detecting radiographic periodontal bone loss (PBL) and their accuracy in classifying lesions.
Key Points:
- The outcomes measured were sensitivity, specificity, accuracy, and pixel accuracy.
- Some studies found no significant difference between AI and dental clinicians’ performance, while others showed AI’s superiority in detecting PBL.
Additional Points:
- The authors used the Quality Assessment for Studies of Diagnostic Accuracy tool to assess the articles.
- The Grading of Recommendations Assessment, Development and Evaluation criteria were used to evaluate the certainty of evidence.
Conclusion:
- AI has potential in aiding the detection of PBL and classification of periodontal diseases, but further research is needed to standardize AI algorithms and validate their clinical usefulness. Caution is advised when considering the use of AI models in diagnosing PBL due to the low level of evidence and inconsistent performance of AI algorithms.
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Did You Know?
According to the Centers for Disease Control and Prevention, 47.2% of adults aged 30 years and older have some form of periodontal disease.
