Table 1.

Search strategy and keywords strings.

Nos	Keyword Strings	Results Obtained in Scopus (S)	Results Obtained in PubMed (P)	Results Obtained in Web of Science (W)	Articles Screened from Results According to Title (S + P + W)
1	Craniofacial anomaly + Oral clefts * + Artificial intelligence *	0	2	0	02
2	Artificial intelligence * + Cleft lip and palate * + automated landmarks	01	0	01	02
3	Oral cleft * + Machine learning * + prediction	02	0	03	05
4	Neural network * + Deep learning * + Cleft lip and palate *	03	0	06	09
5	Machine learning * + clefts * + sagittal relationship	01	0	0	01
6	Machine learning * + Genetic risk + Oral clefts *	01	01	03	05
7	Artificial intelligence * + anatomical variations + Cleft lip and palate *	0	0	0	0
8	Automatic detection + hypernasal speech + Cleft lip and palate *	05	0	06	11
9	Cleft Lip and Palate * + Surgery + Deep learning *	02	01	02	05
10	Facial morphology + oral clefts * + Machine learning *	0	0	0	0
11	Maxillofacial defect + Machine learning * + orofacial clefts *	0	0	0	0
12	Speech recognition + Artificial intelligence * + Oral clefts *	0	0	0	0
13	Artificial intelligence * + Orthognathic surgery + Prognostics factors	01	0	01	02
14	Artificial intelligence * + Dental characteristics + clefts *	0	0	02	02
	Total	16	04	24	44

String asterisk (*) was used to search all the possible words along with them, S = Articles from Scopus database for each string, P = Articles from PubMed database, W = Articles from Web of Science database for each string.