Unveiling the Hidden Threat: Digital Twins and AI for Detecting Undiagnosed Preoperative Atrial Fibrillation in Cardiac Surgery
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February 1, 2025
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Machine Learning–Based Data Extraction Tools in Healthcare: A Systematic Review and Meta-Analysis
Systematic review of ML-based data extraction tools in healthcare.
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Identification of Heart Rate Variability Features Predictive of Post-operative Atrial Fibrillation in Patients Undergoing Coronary Artery Bypass Graft Surgery
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January 20, 2025
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Beyond Prediction: The Kai Digital Twin Score Revolutionizes Cardiac Risk Assessment Through In-Silico Modeling and Synthetic Data
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January 15, 2025
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Large Language Models Take on Cardiothoracic Surgery: A Comparative Analysis of the Performance of Four Models on American Board of Thoracic Surgery Exam Questions in 2023
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