Diagnostic capability of artificial intelligence tools for detecting and classifying odontogenic cysts and tumors: a systematic review and meta-analysis.

Renata Santos Fedato TobiasAna Beatriz TeodoroKarine EvangelistaAndré Ferreira LeiteJosé Valladares-NetoBrunno Santos de Freitas SilvaFernanda Paula Yamamoto-SilvaFabiana T AlmeidaMaria Alves Garcia Silva

Published in: Oral surgery, oral medicine, oral pathology and oral radiology (2024)

AI tools exhibited a relatively high level of accuracy in detecting and classifying OKC and ameloblastoma. Panoramic radiography appears to be an accurate method for AI-based classification of these lesions, albeit with a low level of certainty. The accuracy of CBCT model data appears to be high and promising, although with limited available data.

Keyphrases

artificial intelligence
big data
machine learning
deep learning
cone beam computed tomography
electronic health record
image quality
high resolution
magnetic resonance
contrast enhanced