Table 3 Respondents’ thoughts on the potential positive effects of AI in diagnostic imaging

AI would have a beneficial overall influence on diagnostic imaging

412 (73.3%)

72 (12.7%)

78 (14%)

3.7 (0.8)

The majority of my patients would be delighted by AI in healthcare

454 (80.7%)

72 (12.8%)

36 (6.5%)

4.3 (0.9)

AI might assist minimize radiation exposure levels in diagnostic imaging while retaining optimum image quality

368 (65.4%)

62 (11%)

132 (23.6%)

4.2 (0.7)

AI would be a helpful tool in my profession as a radiographer

410 (72.8%)

102 (18.3%)

50 (8.9%)

4.4 (0.8)

In areas where radiologists are unreachable, AI might improve patient care access

426 (75.8%)

82 (14.6%)

60 (9.6%)

4.2 (0.8)

The use of AI in diagnostic imaging facilitates increased research output in radiology

372 (66.3%)

134 (24%)

36 (9.7%)

3.9 (1.1)

AI would significantly improve the accuracy of both illness detection and diagnosis

498 (88.5%)

44 (7.8%)

20 (3.7)

4.3 (0.9)

AI would improve education in medical imaging

464 (82.6%)

70 (12.4%)

28 (5%)

3.7 (1.2)

Patients’ diagnostic outcomes might benefit from AI-aided decision-making

524 (93.4%)

30 (5.4%)

6 (1.2%)

4.1 (1.1)

There will be a modification in the responsibilities of radiographers because of the use of AI

376 (67%)

68 (12%)

118 (21%)

3.9 (1.1)