Surgical video understanding
Collection
LoRA adapters, supervised baselines, and LemonFM linear probes trained for the SDSC x Chicago Booth surgical video understanding leaderboard. • 27 items • Updated
ResNet-50 — SAR-RARP50 suturing gestures
Supervised 8-way ResNet-50 baseline for suturing-gesture recognition on SAR-RARP50.
Trained as a baseline for the SDSC × Chicago Booth surgical video understanding leaderboard (Skill assessment tab).
Prompt example
This closed-set example mirrors the leaderboard format, not a text-input API for this checkpoint.
[surgical frame]
What suturing action is being performed in this frame?
Choose one label.
- Other
- Picking Up The Needle
- Positioning The Needle Tip
- Pushing The Needle Through The Tissue
- Pulling The Needle Out Of The Tissue
- Tying A Knot
- Cutting The Suture
- Returning Or Dropping The Needle
Evaluation
Full 636-frame validation split (95% bootstrap CI):
| Metric | Value |
|---|---|
| Exact match | 53.0% (49.2–57.1) |
References
- Skobelev, K., Fithian, E., Baranovski, Y., et al. A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling. arXiv:2603.27341, 2026.
- Dataset: Psychogyios, D., Colleoni, E., Van Amsterdam, B., et al. SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. arXiv:2401.00496, 2024.
Limitations
Research baseline only. Not a medical device.