Table 4.
Artificial intelligence in healthcare—GI-physicians’ perspective.
| GI-physicians N = 80 |
Gastro-enterologists N = 35 |
GI-fellows N = 45 |
p value^ | |
|---|---|---|---|---|
| Expectation of work changes by AI*, mean (SD) | 4.5 (0.7) | 4.8 (0.4) | 4.3 (0.7) | < 0.001 |
| Years to implementation, mean (SD) [range] | 5.2 (3.0) | 4.2 (2.7) | 6.0 (3.0) | 0.011 |
| 5 years, n (%) | 61 (78.2) | 29 (85.3) | 32 (72.7) | – |
| 10 years, n (%) | 15 (19.2) | 5 (14.7) | 10 (22.7) | – |
| 15 years, n (%) | 2 (2.6) | 0 (0.0) | 2 (4.5) | – |
| 20 + years, n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
| Willingness to use AI as physician*, mean (SD) | 4.4 (0.7) | 4.6 (0.7) | 4.3 (0.7) | 0.014 |
| Willingness for physicians to use AI as patient*, mean (SD) | 4.1 (0.8) | 4.2 (0.8) | 4.0 (0.9) | 0.243 |
| Increase in quality of care with AI, n (%) | 0.433 | |||
| Yes | 65 (81.3) | 29 (82.9) | 36 (80.0) | – |
| No | 1 (1.3) | 1 (2.9) | 0 (0.0) | – |
| I don’t know | 14 (17.5) | 5 (14.3) | 9 (20.0) | – |
*On a 5-point Likert scale.
^p value reported for differences between gastroenterologists and GE fellows.
AI artificial intelligence; GI gastrointestinal; SD standard deviation.