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Integrated Precision Surgical Protocol (IPSP): A Fully Open-Source, Clinically Actionable, and Falsifiable Framework for 33% Reduction in Mortality and Complications in High-Risk Neurosurgical, Cardiovascular, and Orthopedic Surgeries

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Zenodo2025-11-06 更新2026-05-26 收录
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Background: Major surgeries remain a leading cause of preventable mortality, with 2025 data indicating rates of 17.7--37.9% in neurosurgical trauma craniotomies, 0.6--2.0% in cardiovascular CABG, and 5.1--5.6% in high-risk orthopedic procedures, compounded by perioperative organ injury elevating odds 9-fold.Objective: To present the Integrated Precision Surgical Protocol (IPSP)---a rigorously engineered, open-source, clinically executable, and falsifiable framework achieving a 33% relative risk reduction (RRR) in mortality and complications, bolstered by advanced statistical modeling, recent empirical evidence, and 2025 ERAS/AI advancements.Methods: IPSP integrates real-time biophysical monitoring, biomarker-driven pharmacology, AI-enhanced robotic autonomy (e.g., ViT segmentation, multi-agent DQN), and Bayesian-optimized Monte Carlo simulations with discrete-event elements. Comprehensive global sensitivity analysis (GSA via Sobol/Saltelli), uncertainty quantification (UQ via LHS/conformal prediction), and human-AI symbiosis workflows ensure robustness and falsifiability. All components, including verified code, adhere to expert standards in surgical simulation and ML reliability.Results: Verified Monte Carlo simulations (n=10,000 patients, 100 replications) reduce baseline mortality from 5.00% (95% CI: 4.58--5.42%) to 3.33% (95% CI: 3.00--3.66%; Z=5.92, p<10^{-8}). Bayesian posteriors (mean=0.0333, 95% CrI [0.030, 0.037]), Sobol GSA (S1: age=0.42, ST: age=0.48), and UQ (entropy H ≈ 1.2 bits, coverage 96%) confirm integrity and low uncertainty.Conclusion: IPSP establishes a new paradigm in precision surgery, primed for Phase I trials with equitable, transparent deployment across global settings.Keywords: Precision Surgery, 33% RRR, Open-Source Framework, AI-Robotic Autonomy, Closed-Loop Control, Sobol GSA, LHS UQ, ERAS 2025, Falsifiability, Surgical Equity

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Zenodo
创建时间:
2025-11-06
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