genpark-personal-agent-cardiac-mitral-annular-plane-systolic-excursion-mapse-skill
mcp
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- License — License: Apache-2.0
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- Active repo — Last push 0 days ago
- Community trust — 10 GitHub stars
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Personal agent skill for calculating lateral, septal, and mean mitral annular plane systolic excursion (MAPSE) and longitudinal shortening fraction (LSF%) to detect subclinical LV dysfunction.
README.md
Cardiac Mitral Annular Plane Systolic Excursion (MAPSE) Skill
A production-grade, zero-mock personal agent skill engineered for echocardiographic longitudinal myocardial excursion analysis, base-to-apex cardiac kinetics, and subendocardial dysfunction profiling.
Features
- Deterministic MAPSE Derivation: Computes lateral, septal, and mean longitudinal displacement in millimeters.
- Subclinical HFpEF Biomarker: Detects occult long-axis systolic impairment in patients with normal 2D ejection fraction.
- Pure Standard Library: Zero external dependencies; fully portable for edge and clinical AI deployment.
Clinical References
- Lang, R. M., et al. (2015). Recommendations for cardiac chamber quantification by echocardiography in adults. Journal of the American Society of Echocardiography, 28(1), 1-39.
- Hu, K., et al. (2013). Mitral annular plane systolic excursion for the assessment of left ventricular function. Journal of Ultrasound in Medicine, 32(8), 1339-1345.
License
Apache-2.0
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