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.

GitHub Open Website

What this package declares

The file a client reads when it loads this plugin, exactly as this revision carries it.

plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "surgeon-scientist",
  "version": "1.0.0",
  "description": "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.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "surgeon-scientist"
  ]
}