Table 4.

Baseline characteristics of the studies included in review by studying neural networks in dental surgery.

Study [Ref.]	Year of Publication	Type of Data	Type of Neural Network	Number of Database	Accuracy of Neural Network
Chien-Hsun Lu [41]	2009	Profile photographs	ANN	30 patients	84.5%
Patcas [42]	2018	Photographs	CNN	146 patients	-
Patcas [43]	2019	Frontal and profile images	CNN	20 patients	-
Byung Su [44]	2021	Panoramic radiographs	CNN	300 images	82.7%
Liu [45]	2021	Panoramic radiographs	CNN	420 images	90.36%
Bayrakdar [46]	2021	CBCT	CNN (Diagnocat)	75 images	72.2% for canals detection; 66.4% for sinuses/fossae and 95.3% for missing tooth regions
Sukegawa [47]	2021	Panoramic radiographs	CNN	9767 images	81.83%