Table 1.
Demographics of survey participants (N=151).
| Characteristics | Participants, n (%) | |
| Gender | ||
|
|
Male | 101 (67) |
|
|
Female | 45 (30) |
|
|
Undefined | 2 (1) |
|
|
Not specified | 2 (1) |
|
|
Diverse | 1 (1) |
| Age (years) | ||
|
|
≤30 | 69 (46) |
|
|
30-40 | 49 (33) |
|
|
41-50 | 24 (16) |
|
|
≥50 | 9 (6) |
| Work environment | ||
|
|
Science | 104 (69) |
|
|
Industry | 22 (15) |
|
|
Clinical work | 12 (8) |
|
|
Other | 11 (7) |
|
|
Not specified | 2 (1) |
| Most common medical specialties | ||
|
|
Digital medicine | 38 (25) |
|
|
Radiology | 32 (21) |
|
|
Not specified | 29 (19) |
|
|
Other | 22 (15) |
|
|
Internal medicine | 21 (14) |
|
|
Surgery | 14 (9) |
|
|
Family medicine | 14 (9) |
|
|
Public health | 11 (7) |
|
|
Neurology | 10 (7) |
| Stage of AIa project | ||
|
|
Training and optimization | 105 (70) |
|
|
Data acquisition or preprocessing | 84 (56) |
|
|
Identification of AI algorithms | 83 (55) |
|
|
Project planning | 82 (54) |
|
|
Practical testing of AI algorithms | 79 (52) |
|
|
Data annotation | 61 (40) |
|
|
Not specified | 7 (5) |
|
|
Other | 6 (4) |
aAI: artificial intelligence.