PJKPredict: Spine Risk Radar
ABDI ALEX MOHIT · Medical
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Chart standing · US
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About
PJKPredict is an institutional-grade biomechanical simulator and clinical decision-support application engineered for orthopedic spine surgeons, neurosurgeons, and spine fellows managing adult spinal deformity (ASD). Key Capabilities: • Lafage-ISSG Clinical Score: Evaluates patient demographics, age, BMI, prior osteotomies, and pre-op deformity severity. • Yilgor Global Alignment and Proportion (GAP) Score: Full 5-component biomechanical analysis (RPV, RLL, LDI, RPA, Age Factor) categorizing constructs into Proportioned, Moderately Disproportioned, or Severely Disproportioned with predicted mechanical failure probability. • 120 FPS Sagittal Spine Canvas: Real-time vector spine morphing reflecting patient Pelvic Incidence, planned Lumbar Lordosis, and Thoracic Kyphosis with SVA plumb line and hardware rod rendering (Cobalt-Chrome, Titanium, Stepped Transition). • Dynamic UIV Stress Heatmap: Real-time comparison across all candidate upper instrumented vertebrae from T1 to L3. • Adaptive Evidence Calibration Engine: Evaluates peer-reviewed literature and dynamically updates predictive model weights according to Evidence Level (RCTs, prospective cohorts, OR/HR) with full clinical provenance. Disclaimer: PJKPredict is an educational clinical decision-support tool. It does not replace individualized surgical judgment or clinical diagnosis.
What's new · 1.1.0
Version 1.1 introduces interactive CT Hounsfield Unit (HU) bone mineral density estimation with PACS window calibration (Bone, Soft Tissue, Lung), Pickhardt DEXA T-score correlation, and AI-assisted spinopelvic parameter landmarking with sub-millimeter TouchLoupe precision.
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