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| title: AngioAI Pro | |
| emoji: 🫀 | |
| colorFrom: red | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 4.44.1 | |
| app_file: app.py | |
| pinned: false | |
| license: other | |
| # AngioAI Pro — Coronary Angiography Analysis | |
| Upload a coronary X-ray angiography (XCA) video. The pipeline: | |
| | Step | Module | Notes | | |
| |---|---|---| | |
| | 1 | Keyframe extraction | contrast × sharpness score | | |
| | 2 | Stenosis detection | 3 × YOLOv8-seg ensemble with weighted mask fusion | | |
| | 3a | Binary vessel mask | ResUNet | | |
| | 3b | Coronary segments | 25 SYNTAX segments (YOLOv8-seg) | | |
| | 4 | QCA + FFR estimate | diameter stenosis on the measured branch; QFR = 1 − (0.33·DS + 0.60·DS²) | | |
| | 5 | SYNTAX (anatomical) | segment weights × lesion multiplier, lesions ≥ 50 % DS | | |
| **Held-out ARCADE stenosis test set (300 images):** precision 0.55, recall 0.76, F1 0.64 (mask IoU ≥ 0.3), 0.80 false positives per image. | |
| Checkpoints are loaded from the private model repo `MuhammadAdil63/angio-ai-checkpoints` (Space secret `HF_TOKEN`). | |
| > **Research use only.** Not a medical device and not for clinical diagnosis. Not validated on non-ARCADE data or on normal angiograms. | |