Table 1 Comparison between AI-assisted learning and conventional groups
From: Artificial intelligence-based education assists medical students’ interpretation of hip fracture
AI-assisted learning group | Conventional group | p value | |
|---|---|---|---|
Case number | 15 | 15 | |
Age (mean + SD) | 24.00 ± 1.60 | 24.67 ± 3.13 | 0.471 |
Gender | |||
Male | 9 | 10 | 0.740 |
Female | 6 | 5 | |
Pre-learning accuracy | 75.73 ± 10.58 | 75.86 ± 11.36 | 0.974 |
Pre-learning sensitivity | 77.33 ± 18.15 | 72.53 ± 15.37 | 0.441 |
Pre-learning specificity | 74.13 ± 17.42 | 79.20 ± 15.47 | 0.407 |
With AI accuracy | 88.87 ± 5.51 | – | |
With AI sensitivity | 94.93 ± 5.23 | – | |
With AI specificity | 82.80 ± 10.50 | – | |
Post-learning accuracy | 84.93 ± 14.53 | 78.66 ± 14.53 | 0.141 |
Post-learning sensitivity | 86.40 ± 6.42 | 75.47 ± 22.10 | 0.084 |
Post-learning specificity | 83.47 ± 14.03 | 81.87 ± 14.27 | 0.759 |