Table 2.
Self-rating of knowledge of artificial intelligence and understanding of machine learning and statistics.
| Areas | SickKids (n=195), n (%) | Lucile Packard Children’s Hospital (n=80), n (%) | P-value | |
| Artificial intelligence knowledge |
|
|
.93 | |
|
|
None | 10 (5.1) | 5 (6.3) |
|
|
|
Very little | 67 (34.4) | 30 (37.5) |
|
|
|
Some | 83 (42.6) | 31 (38.8) |
|
|
|
Moderate | 30 (15.4) | 11 (13.8) |
|
|
|
A lot | 5 (2.6) | 3 (3.8) |
|
| Machine learning development and interpretation |
|
|
.72 | |
|
|
None | 44 (22.6) | 18 (22.5) |
|
|
|
Very little | 56 (28.7) | 28 (35.0) |
|
|
|
Somewhat | 64 (32.8) | 25 (31.3) |
|
|
|
Moderate | 24 (12.3) | 8 (10.0) |
|
|
|
Fully | 7 (3.6) | 1 (1.3) |
|
| Statistics conduct and interpretation |
|
|
.19 | |
|
|
None | 4 (2.1) | 1 (1.3) |
|
|
|
Very little | 18 (9.2) | 7 (8.8) |
|
|
|
Somewhat | 67 (34.4) | 38 (47.5) |
|
|
|
Moderate | 78 (40.0) | 29 (36.3) |
|
|
|
Fully | 28 (14.4) | 5 (6.3) |
|