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. 2023 May 19;11(10):1480. doi: 10.3390/healthcare11101480

Table 3.

Explanatory factors associated with the analyzed attitudes and perspectives (results from univariate logistic regression analyses).

ATITUDES AND PERSPECTIVES Significant Association with Exp (B) 95%CI p-Value
ARE YOU FAMILIAR WITH THE AI APPLICATIONS USE IN HEALTH CARE? Being student
Holding PhD
Having dental specialization
0.575
6.671
2.431
0.35–0.92
3.21–13.86
1.43–4.12
p = 0.023
p < 0.001
p < 0.001
DO YOU USE OR FAMILIAR WITH USAGE OF CURRENT APPLICATIONS OF AI-BASED DENTAL SOFTWARE? Holding PhD
Having dental specialization
3.598
1.794
2.03–6.34
1.13–2.85
p < 0.001
p = 0.013
DO YOU THINK AI COULD REPLACE DENTISTS IN A DENTAL PRACTICE? Being student 1.763 1.04–2.96 p = 0.033
DO YOU THINK AI SHOULD BE USED IN A DENTAL PRACTICE? Being student 0.518 0.31–0.84 p = 0.009
HOW DO YOU ESTIMATE THE SIGNIFICANCE OF THE FOLLOWING ETHICAL ISSUE: The lack of assigned accountability for consequences of AI-based decision Being female 0.554 0.32–0.93 p = 0.027
HOW DO YOU ESTIMATE THE SIGNIFICANCE OF THE FOLLOWING ETHICAL ISSUE: The lack of transparent and representative data used for AI software development Being female 0.506 0.30–0.84 p = 0.009
HOW DO YOU ESTIMATE THE SIGNIFICANCE OF THE FOLLOWING ETHICAL ISSUE: The lack of regulatory policy which governs AI use Being female
Being student
0.446
1.743
0.25–0.77
0.98–3.09
p = 0.004
p = 0.047
HOW DO YOU ESTIMATE THE SIGNIFICANCE OF THE FOLLOWING ETHICAL ISSUE: The data protection and privacy issues associated with AI use not specified Being female 0.384 0.22–0.65 p < 0.001
WHO SHOULD BE ACCOUNTABLE FOR FALSE AI-BASED DECISION DUE TO ALGORITHMIC BIAS? Being female 0.715 0.53–0.95 p = 0.02