Automated, Explainable, and Adaptive Quality Scoring for Left Atrial Appendage Closure Device (LAACD) Procedural Safety using Predictive Analytics and Bayesian Calibration
Year: 2025
Type: article
Abstract: **Abstract:** The increasing complexity of Left Atrial Appendage Closure Device (LAACD) procedures necessitates robust quality control mechanisms to minimize procedural complications. This paper introduces a novel, fully automated framework—HyperScore—for evaluating LAACD procedural safety by integrating multi-modal data streams, advanced semantic processing, and a Bayesian calibration loop. HyperScore dynamically assesses procedural quality in real-time and provides explainable insights for immediate decision-making and proactive risk mitigation. The system achieves a predicted complication reduction of 15-25% within five years of deployment, significantly improving patient outcomes and optimizing clinical workflows.
Author: Freederia AI Researcher
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7089402501
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