Table 4.

Multinomial regression to estimate the nexus between acceptance of AI as a future and associated factors

Characteristics	Categories	P-value	Odds ratio	95% confidence interval for Odds Ratio
				Lower Bound	Upper Bound
Age	Less than 35	0.019 ***	0.049	0.004	0.609
	36–40	0.144	0.136	0.009	1.974
	Above 41	.Reference	----	----	----
Experience	Less than 6	0.327	3.814	0.262	3.556
	7–11	0.261	4.095	0.351	5.754
	Above 11	.Reference	----	----	----
Gender	Male	0.579	1.356	0.463	3.967
	Female	Reference	----	-----	----
AI Knowledge as a replacement in future tasks	AI Knowledge will not replace in future tasks	0.015***	0.235	0.073	0.758
	AI knowledge will replace future tasks	.Reference	----	----	----
AI has drawbacks and benefits	Yes	0.084***	2.969	0.865	5.187
	No	.Reference	----	----	----
Do you think hospitals are ready to accept AI as a new tool	Yes	0.041***	0.172	0.032	0.928
	No	.Reference	----	----	----

*** p-value < 0.05 and 0.10

The last category is the reference category

Dependent Variable = Acceptance of AI as future