Table 2.
Data extraction table.
| Author/year | Country | DS/DP | Gender | Basic knowledge regarding AI | AI use in dentistry | AI will lead to major advances in dentistry | AI will replace dentists in the future |
|---|---|---|---|---|---|---|---|
| Aboalshamat et al., 20226 | KSA | DS = 230 DP = 159 |
M = 111/F = 278 | Yes = 44.5 % | Yes = 42.2 % | Yes = 75 % | Yes = 49.1 % |
| AlAhmari, 202210 | KSA | DS = 218 | M = 116/F = 102 | Yes = 22 % | Yes = 37 % | Yes = 74 % | Yes = 36 % |
| Asmatahsain et al., 20211 | India | DS = 270 | M = 49/F = 221 | Yes = 89.63 % | Yes = 43.7 % | Yes = 77.04 % | Yes = 20.74 % |
| Jethlia et al., 20222 | KSA | DS = 102 DP = 98 |
M = 100/F = 100 | DS Yes = 72.5 % DP Yes = 75.5 % |
DS Yes = 62.7 % DP Yes = 66.3 % |
DS Yes = 64.7 % DP Yes = 62.2 % |
DS Yes = 17.6 % DP Yes = 12.2 % |
| Keser et al., 20213 | Turkey | DS = 140 | M = 55/F = 85 | Yes = 60 % | Yes = 39.3 % | Yes = 37.9 % | |
| Khanagar et al., 202111 | KSA | DS = 423 | M = 215/F = 208 | Yes = 49.9 % | Yes = 44.2 % | Yes = 86.5 % | |
| Seram et al., 20217 | India | DS = 279 | M = 101/F = 178 | Yes = 59.85 % | Yes = 63 % | Yes = 61.6 % | |
| Sur et al., 20204 | India | DP = 250 | Yes = 68 % | Yes = 42 % | Yes = 63 % | ||
| Thulasi et al., 202212 | India | DS = 140 DP = 60 |
M = 99/F = 111 | Yes = 34.5 % | Yes = 40 % | Yes = 29.5 % | |
| Vamshi Ram et al., 202213 | India | DS = 100 | Yes = 67 % | Yes = 84 % | |||
| Yuzbasioglu, 20218 | Turkey | DS = 1103 | M = 453/F = 650 | Yes = 48.4 % | Yes = 78.8 % | Yes = 85.7 % | Yes = 28.6 % |
| Akhtar et al., 202214 | Pakistan | DS = 355 | M = 95/F = 260 | Yes = 58.3 % | Yes = 41.4 % | Yes = 74.7 % | Yes = 33.8 % |
| Karan-Romero et al., 202315 | Peru | DS = 200 | M = 102/F = 98 | Yes = 86 % | Yes = 34 % |
DS: Dental student; DP: dental practitioner; M: male; F: female.