AIMC Topic: Thrombophilia
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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.
The international journal of cardiovascular imaging
Sep 25, 2024
Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood...
Humans
Machine Learning
Decision Support Techniques
Retrospective Studies
Female
Reproducibility of Results
Risk Factors
Aged
Radiomics
Male
Middle Aged
Risk Assessment
Nomograms
Predictive Value of Tests
Anticoagulants
Blood Coagulation
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Atrial Fibrillation
Thrombophilia
Multidetector Computed Tomography
Computed Tomography Angiography
Atrial Appendage
Continuous Infusion Low-Dose Unfractionated Heparin for the Management of Hypercoagulability Associated With COVID-19.
Journal of pharmacy practice
Oct 14, 2020
INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) is associated with severe hypercoagulability. There is currently limited evidence supporting the routine use of therapeutic anticoagulation in the setting of COVID-19.
Enhancing Thrombophilia Risk Prediction Through AI-Based Methodologies.
Studies in health technology and informatics
May 23, 2024
Thrombophilia, a predisposition to thrombosis, poses significant diagnostic challenges due to its multi-factorial nature, encompassing genetic and acquired factors. Current diagnostic paradigms, primarily relying on a combination of clinical assessme...
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