Table 1.

Baseline characteristics of the studies included in the review by studying neural networks in restorative dentistry.

Study [Ref.]	Year of Publication	Type of Data	Type of Neural Network	Number of Database	Accuracy of Neural Network
Javed [3]	2019	Primary molars	Artificial neural network (ANN)	45 teeth	99.03%
Geetha [22]	2020	Periapical radiographs	Back -propagation neural network	105 images	97.7%
Abdalla-Aslan [23]	2020	Panoramic radiographs	Cubic support vector machine algorithm with error-correcting output codes	83 images	93.6%