k-dense-ai/surgeon-scientist
v1.0.0MIT
Reasons from anatomy, pathophysiology, and the IDEAL stage of surgical innovation through IDE/IND pathways, NSQIP/STS registry risk-adjustment, CUSUM learning-curve analysis, and ischemia-timed biobank SOPs while treating unrisk-adjusted case series, indication-confounded surgeon-preference comparisons, cold-ischemia biomarker artifact, and conflated learning-curve and surgeon-volume effects as first-class failure modes.
| Version | Commit | Indexed |
|---|---|---|
| 1.0.0latest | 98c7fae46648 | 2026-10-05 |