Table 8.

Binary logistic regression between baseline characteristics of the study population and the attitude toward artificial intelligence^**.

	Categories	P-value	Odds ratio	Lower	Upper
Age	21–30	0.173	Reference
	31–40	0.073	0.429	0.073	0.429
	41–50	0.344	0.288	0.344	0.288
	51–60	0.440	0.553	0.440	0.553
	60<	0.085	0.138	0.085	0.138
Level of education	undergraduate	Reference
	graduate	0.458	0.669	0.232	1.931
Gender	Male	Reference
	Female	0.128	0.835	0.661	1.053
If undergraduate, then which professional?	1st professional	0.000	Reference
	2nd professional	0.379	0.789	0.379	0.789
	3rd professional	0.175	0.710	0.175	0.710
	4th professional	0.224	0.701	0.224	0.701
	5th professional	0.657	1.106	0.657	1.106
	6th professional	0.000	2.868	0.000	2.868
	Graduate	0.548	1.370	0.548	1.370
If Postgraduate, specify the rank	Student	0.584
	Resident	0.263	1.458	0.263	1.458
	Senior registrar	0.625	1.401	0.625	1.401
	Assistant professor	0.577	0.697	0.577	0.697
	Associate Professor	1.000	-	-	-
	Professor	0.221	5.251	0.370	74.602
Constant	0.002	1.894

^**The logistic regression model was statistically significant, X2(17) = 102.32, p-value = 0.000, Hosmer and lemeshow test: 5.75(P-value = 0.57). The model explained 0.094 Nagelkerke R Square of the variance in the Attitude toward artificial intelligence among doctors and medical students in Syria.