Surgical Data Science Collective convenes experts on whether AI truly understands surgery
ddonoho · x · 2026-10-02
SDSC brought surgeons and computer scientists together in NY to tackle how to know when AI understands surgery. Key takeaways: better surgical AI starts with better surgical data, and models must learn to distinguish what the surgeon is doing from what the camera happens to capture.
More from Research
- Researcher argues 'residual streams' is the wrong term, proposes 'tape library' — _arohan_ · 2026-10-02
- Kevin Buzzard: math will hit a 'natural boundary' where machines get stuck — ChrSzegedy · 2026-10-02
- iDDM trains few-step diffusion from scratch in one stage: 4.48 FID at 4 steps on ImageNet-256 — proceduralia · 2026-10-02
- Researcher: arXiv flooded with slop, ML academia increasingly marginalized — joshua_saxe · 2026-10-02
- Meta paper: a dedicated controller lifts long agent runs from 63.7% to 71.5% at same budget — dair_ai · 2026-10-02
- Robert Long's open questions on introspection in empirical AI welfare — rgblong · 2026-10-02