| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Lung Segmentation | PadChest (test) | Dice97.2 | 20 | |
| Multi-label classification | PadChest-GR | F1 Score22.35 | 11 | |
| Medical Image Classification | PadChest (test) | AUC72.51 | 9 | |
| Counterfactual intervention evaluation | PadChest (test) | LLA16.1 | 9 | |
| Visual Grounding | PadChest-GR (test) | mAP@0.563 | 8 | |
| Multi-label CXR Classification | PadChest20 (test) | AUC0.837 | 8 | |
| Multi-label CXR Classification | PadChest (test) | AUC0.81 | 8 | |
| Top-5 Disease Classification | PadChest | Top-5 AUROC92.92 | 6 | |
| Chest X-ray Classification | PadChest | AUROC (%)89.19 | 6 | |
| Probabilistic Calibration | PadChest 20K labeled samples | Brier Score0.066 | 5 | |
| Grounded Report Generation | PadChest-GR (test) | F1-Mi59.2 | 3 | |
| Phrase Grounding | PadChest-GR (test) | IoU (Mi.)45.3 | 2 | |
| Lung Segmentation | PadChest ΔV+ (test) | Dice (Right Lung)88.83 | 2 |