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Table 5 Perspectives on the determinants that affect AI deployment and decision-making in medical imaging

From: Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia

Item

Agreement

Neutral

Disagreement

M (SD)

AI deployment in Saudi Arabia will be constrained by high installation costs

478 (85%)

32 (5.6%)

52 (9.4%)

4.2 (0.9)

I recognize that a lack of understanding about the advent of AI technology is a key impediment to AI deployment

432 (93%)

6 (1%)

34 (6%)

4.2 (0.8)

The application of AI is vulnerable to cyber danger

370 (65.7%)

60 (10.7%)

132 (23.6%)

3.9 (1.1)

In the absence of effective cyber security measures, cybercriminals may control AI

400 (71%)

28 (5%)

134 (24%)

4.2 (0.7)

AI algorithmic and diagnostic decisions should be shared equally

256 (45.6%)

94 (16.6%)

212 (37.8%)

3.7 (1.2)

The diagnostic decision-making process should be conducted by an AI system

130 (23%)

118 (21%)

314 (56%)

3.8 (1.1)

Who is responsible for a diagnostic error caused by AI-tool software?

86 (15.6%) The radiographer in charge

358 (63.6%) The machine manufacturers

40 (7%) The referring radiologist

78 (13.8%) Others, for example, AI administrators, handlers, and health facility

3.5 (1.2)

4.1 (0.9)

3.3 (1.3)

3.2 (1.1)