Table 1 Predictive performance metrics comparison between two in vivo 3D platforms
From: Development of an AI model for DILI-level prediction using liver organoid brightfield images
Metrics | Human liver organoids | HepG2 spheroids | |
|---|---|---|---|
Recall | vNo-DILI-Concern | 0.9016 | 0.5800 |
vLess-DILI-Concern | 0.7500 | 0.6058 | |
vMost-DILI-Concern | 0.7808 | 0.8580 | |
Specificity | vNo-DILI-Concern | 0.8557 | 0.9416 |
vLess-DILI-Concern | 0.9552 | 0.9243 | |
vMost-DILI-Concern | 0.9059 | 0.6429 | |
Precision | vNo-DILI-Concern | 0.7971 | 0.5370 |
vLess-DILI-Concern | 0.7500 | 0.6923 | |
vMost-DILI-Concern | 0.8769 | 0.6429 | |
F1 score | vNo-DILI-Concern | 0.8462 | 0.5577 |
vLess-DILI-Concern | 0.7500 | 0.6462 | |
vMost-DILI-Concern | 0.8261 | 0.8463 | |
Accuracy | Â | 0.8234 | 0.7741 |