AIMC Topic: Thrombosis
Clear Filters Showing 41 to 50 of 63 articles
Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation.
Critical care (London, England)
Dec 10, 2020
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.
Intelligent classification of platelet aggregates by agonist type.
eLife
May 12, 2020
Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggregates for hemostatic reactions. In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological ...
Teaching an old dog new tricks: three-dimensional visual spatialisation of viscoelastic testing and artificial intelligence.
Anaesthesia
Mar 12, 2020
Clot Analog Attenuation in Non-contrast CT Predicts Histology: an Experimental Study Using Machine Learning.
Translational stroke research
Jan 14, 2020
Exact histological clot composition remains unknown. The purpose of this study was to identify the best imaging variables to be extrapolated on clot composition and clarify variability in the imaging of thrombi by non-contrast CT. Using a CT-phantom ...
Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.
PloS one
Dec 5, 2019
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. ...
Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management.
Seminars in thrombosis and hemostasis
Sep 28, 2019
Thrombosis development in either arterial or venous system remains a major cause of death and disability worldwide. This poorly controlled in vivo clotting could result in many severe complications including myocardial infarction, venous thromboembol...
Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network.
BioMed research international
Jun 9, 2019
OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Accurate segmentation of DVT is important to facilitate the diagnosis and treatment. In the current study, we proposed a fully automatic method of DVT de...
Machine learning approaches for risk assessment of peripherally inserted Central catheter-related vein thrombosis in hospitalized patients with cancer.
International journal of medical informatics
Jun 7, 2019
OBJECTIVE: The aim of this study was to conduct an effective assessment of peripherally inserted central venous catheter (PICC)-related thrombosis based on machine learning (ML) techniques considering genotype.
Characterization of clot composition in acute cerebral infarct using machine learning techniques.
Annals of clinical and translational neurology
Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
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