AIMC Topic: Thrombosis

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Development and validation of a predictive model for peripherally inserted central catheter-related thrombosis in breast cancer patients based on artificial neural network: A prospective cohort study.

International journal of nursing studies Aug 8, 2022
BACKGROUND: Peripherally inserted central catheters have been extensively applied in clinical practices. However, they are associated with an increased risk of thrombosis. To improve patient care, it is critical to timely identify patients at risk of...
Prospective Studies Female Risk Factors Humans Neural Networks, Computer Central Venous Catheters Thrombosis Catheters Breast Neoplasms Catheterization, Peripheral Catheterization, Central Venous
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Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke.

International journal of computer assisted radiology and surgery May 23, 2022
PURPOSE: Recently, a large number of patients with acute ischemic stroke benefited from the use of thrombectomy, a minimally invasive intervention technique for mechanically removing thrombi from the cerebrovasculature. During thrombectomy, 2D digita...
Ischemic Stroke Humans Stroke Retrospective Studies Thrombosis Deep Learning Brain Ischemia Angiography, Digital Subtraction Thrombectomy
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Combining mathematical modeling and deep learning to make rapid and explainable predictions of the patient-specific response to anticoagulant therapy under venous flow.

Mathematical biosciences Apr 30, 2022
Anticoagulant drugs are commonly prescribed to prevent hypercoagulable states in patients with venous thromboembolism. The choice of the most efficient anticoagulant and the appropriate dosage regimen remain a complex problem because of the intersubj...
Deep Learning Anticoagulants Blood Coagulation Humans Thrombosis Venous Thromboembolism
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Deep Learning to Automatically Segment and Analyze Abdominal Aortic Aneurysm from Computed Tomography Angiography.

Cardiovascular engineering and technology Jan 8, 2022
PURPOSE: Although segmentation of Abdominal Aortic Aneurysms (AAA) thrombus is a crucial step for both the planning of endovascular treatment and the monitoring of the intervention's outcome, it is still performed manually implying time consuming ope...
Humans Deep Learning Aortic Aneurysm, Abdominal Thrombosis Computed Tomography Angiography
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Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach.

PloS one Aug 2, 2021
BACKGROUND: Conventional risk score for predicting short and long-term mortality following an ST-segment elevation myocardial infarction (STEMI) is often not population specific.
Risk Factors Male Middle Aged Time Factors Hospital Mortality ROC Curve Machine Learning Thrombosis Female Asian People Area Under Curve Reproducibility of Results Humans ST Elevation Myocardial Infarction
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In Vitro Measurements of Shear-Mediated Platelet Adhesion Kinematics as Analyzed through Machine Learning.

Annals of biomedical engineering May 10, 2021
Platelet adhesion to blood vessel walls in shear flow is essential to initiating the blood coagulation cascade and prompting clot formation in vascular disease processes and prosthetic cardiovascular devices. Validation of predictive adhesion kinemat...
Blood Platelets Platelet Adhesiveness Humans Neural Networks, Computer Machine Learning Biomechanical Phenomena In Vitro Techniques Thrombosis
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Assessment of Collaborative Robot (Cobot)-Assisted Histotripsy for Venous Clot Ablation.

IEEE transactions on bio-medical engineering Mar 18, 2021
OBJECTIVE: The application of bubble-based ablation with the focus ultrasound therapy histotripsy is gaining traction for the treatment of venous thrombosis, among other pathologies. For extensive clot burden, the histotripsy source must be translate...
Phantoms, Imaging Transducers High-Intensity Focused Ultrasound Ablation Robotics Thrombosis Humans
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Response: Comment and Update on "Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management".

Seminars in thrombosis and hemostasis Feb 1, 2021
Artificial Intelligence Thrombosis Humans
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Comment and Update on "Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management".

Seminars in thrombosis and hemostasis Feb 1, 2021
Humans Artificial Intelligence Thrombosis
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Characterization of Antiphospholipid Syndrome Atherothrombotic Risk by Unsupervised Integrated Transcriptomic Analyses.

Arteriosclerosis, thrombosis, and vascular biology Dec 24, 2020
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and identify novel microRNA (miRNA)-mRNA-intracellular signaling regulatory networks in monocytes linked to cardiovascular disease. Approach and Results:...
Antiphospholipid Syndrome Gene Regulatory Networks Male Thrombosis Monocytes Female Middle Aged Humans Cluster Analysis Gene Expression Regulation Risk Factors Signal Transduction Risk Assessment Cells, Cultured MicroRNAs Oligonucleotide Array Sequence Analysis Adult Gene Expression Profiling Unsupervised Machine Learning Case-Control Studies Transcriptome Protein Interaction Maps
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