Table 2 Summary of results

Demographic information

Gender

Female

118/223 (52.9%)

Male

103/223 (46.2%)

Rather not say

2/223 (0.9%)

Professional level

Attending physician

171/223 (76.7%)

Resident

52/223 (23.3%)

Resident section—52 respondents

AP section—171 respondents

Year of residency

Work setting

R1

9/52 (17.3%)

Both, mainly public

66/171 (38.6%)

R2

23/52 (44.2%)

Both, mainly private

8/171 (4.7%)

R3

11/52 (21.2%)

Only public

87/171 (50.9%)

R4

9/52 (17.3%)

Only private

10/171 (5.8%)

Desired work setting upon residency completion

Experience as AP (in years)

Not decided

17/52 (32.7%)

0–5

32/171 (18.7%)

Both, mainly public

29/52 (55.8%)

6–10

35/171 (20.5%)

Both, mainly private

2/52 (3.8%)

11–20

37/171 (21.6%)

Only public

4/52 (7.7%)

21–30

49/171 (28.7%)

Only private

0/52 (0%)

> 30

18/171 (10.5%)

Technologies and terminology

I do not know this term

I have heard or read about this term

I have used it professionally on occasion

I usually use it professionally

Artificial intelligence

2/223 (0.9%)

169/223 (75.8%)

41/223 (18.4%)

11/223 (4.9%)

Algorithm

17/223 (7.6%)

128/223 (57.4%)

46/223 (20.6%)

32/223 (14.3%)

Backpropagation

171/223 (76.7%)

45/223 (20.2%)

6/223 (2.7%)

1/223 (0.4%)

Blackbox

145/223 (65.0%)

73/223 (32.7%)

1/223 (0.4%)

4/223 (1.8%)

Convolutional neural network

80/223 (35.9%)

131/223 (58.7%)

10/223 (4.5%)

2/223 (0.9%)

Machine learning

26/223 (11.7%)

167/223 (74.9%)

23/223 (10.3%)

7/223 (3.1%)

Python

160/223 (71.7%)

56/223 (25.1%)

5/223 (2.2%)

2/223 (0.9%)

R

181/223 (81.2%)

34/223 (15.2%)

6/223 (2.7%)

2/223 (0.9%)

Pandas

200/223 (89.7%)

18/223 (8.1%)

3/223 (1.3%)

2/223 (0.9%)

PyTorch

215/223 (96.4%)

6/223 (2.7%)

1/223 (0.4%)

1/223 (0.4%)

TensorFlow

181/223 (81.2%)

37/223 (16.6%)

2/223 (0.9%)

3/223 (1.3%)

Academic training

Do you consider practicing radiology to be routine work?

Yes

82/223 (36.8%)

No

123/223 (55.2%)

Other

18/223 (8%)

Do you consider you should pursue academic training in IT and new technologies?

Yes

223/223 (100%)

No

0/223 (0%)

Do you consider said skills and competencies should be included in the specialty’s academic program?

Yes

207/223 (92.9%)

No

2/223 (2.2%)

Other

11/223 (4.9%)

Do you consider there is enough time in 4 years of academic training to include said skills and competencies?

Yes

53/223 (23.8%)

No

170/223 (76.2%)

Who do you consider should cover the economic cost of this academic training? (multiple answer)

Yourself

23/223 (10.3%)

The organization which you work for

188/223 (84.3%)

Pharmaceutical companies

21/223 (9.4%)

Professional societies

95/223 (42.6%)

Technological companies

74/223 (33.2%)

Other

23/223 (10.3%)

Self-education

None

1–3

4–6

7–10

11–15

> 15

Lectures attended last year

91/223 (40.8%)

93/223 (41.7%)

29/223 (13.0%)

4/223 (1.8%)

2/223 (0.9%)

4/223 (1.8%)

Articles read last year

58/223 (26.0%)

111/223 (49.8%)

30/223 (13.5%)

15/223 (6.7%)

2/223 (0.9%)

7/223 (3.1%)

Concerns

Not concerned

Indifferent

Concerned

Lack of jobs

102/223 (45.7%)

65/223 (29.2%)

56/223 (25.1%)

Workload increase

90/223 (40.4%)

65/223 (29.1%)

68/223 (30.5%)

Reduced per-report remuneration

47/223 (21.1%)

55/223 (24.7%)

121/223 (54.2%)

Patient safety

62/223 (27.8%)

49/223 (22.0%)

112/223 (50.2%)

Adapting to new technologies

71/223 (32.0%)

53/223 (23.8%)

98/223 (44.2%)