AIMC Topic: Hemorrhage

Clear Filters Showing 41 to 50 of 93 articles

Predicting intraoperative bleeding in patients undergoing a hepatectomy using multiple machine learning and deep learning techniques.

Journal of clinical anesthesia Jul 1, 2021
Deep Learning Hemorrhage Hepatectomy Humans Machine Learning
View on PubMed DOI

Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients.

Sensors (Basel, Switzerland) Jun 3, 2021
Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and accurate diagnosis can improve the analysis and prognosis of the disease. One of the earliest symptoms of DR are the hemorrhages in the retina. Therefore, we pro...
Retina Hemorrhage Humans Neural Networks, Computer Diabetes Mellitus Algorithms Deep Learning Fundus Oculi
View on PubMed DOI

Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.

IEEE journal of biomedical and health informatics May 11, 2021
Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) images is crucial for dealing with a hemorrhagic stroke. However, due...
Humans Brain Image Processing, Computer-Assisted Tomography, X-Ray Computed Hemorrhage Deep Learning
View on PubMed DOI

Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation.

Critical care (London, England) Dec 10, 2020
Cohort Studies Extracorporeal Membrane Oxygenation Forecasting Retrospective Studies Chi-Square Distribution Thrombosis Hemorrhage Humans Machine Learning
View on PubMed DOI

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.
Venous Thromboembolism COVID-19 Drug Treatment Adult Heparin Humans Hemorrhage Anticoagulants Retrospective Studies Thrombophilia Thrombosis
View on PubMed DOI

Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers.

Journal of translational medicine Sep 14, 2020
BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on the fusion of multi-biomarker data; glucose, lactate, pH, potassium, and oxygen tension, to serve as a patient-specific attribute in hemorrhagic traum...
Bayes Theorem Hemorrhage Algorithms Biomarkers Humans Neural Networks, Computer
View on PubMed DOI

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

Scientific reports Aug 3, 2020
Exercise-induced pulmonary hemorrhage (EIPH) is a common condition in sport horses with negative impact on performance. Cytology of bronchoalveolar lavage fluid by use of a scoring system is considered the most sensitive diagnostic method. Macrophage...
Single-Cell Analysis Animals Lung Diseases Deep Learning Cytological Techniques Hemorrhage Horses
View on PubMed DOI

A “human-proof pointy-end”: a robotically applied hemostatic clamp for care-under-fire.

Canadian journal of surgery. Journal canadien de chirurgie Dec 1, 2019
Providing the earliest hemorrhage control is now recognized as a shared responsibility of all members of society, including both the lay public and professionals, consistent with the Stop the Bleed campaign. However, providing early hemorrhage contro...
Humans Emergency Medical Services Robotics Hemorrhage Hemostatic Techniques
View on PubMed DOI

Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation.

Medical physics Nov 19, 2019
PURPOSE: As deep neural networks achieve more success in the wide field of computer vision, greater emphasis is being placed on the generalizations of these models for production deployment. With sufficiently large training datasets, models can typic...
Hemorrhage Deep Learning Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed
View on PubMed DOI

Stomach Deformities Recognition Using Rank-Based Deep Features Selection.

Journal of medical systems Nov 1, 2019
Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient's deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy (WCE) is an advanced procedures used for...
Humans Capsule Endoscopy Neural Networks, Computer Image Processing, Computer-Assisted Stomach Ulcer Hemorrhage Stomach Diseases
View on PubMed DOI
Popular Topics
Recent Journals