AIMC Topic: Predictive Value of Tests
Clear Filters Showing 861 to 870 of 2210 articles
Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review.
PloS one
Aug 24, 2021
BACKGROUND: Chest pain is amongst the most common reason for presentation to the emergency department (ED). There are many causes of chest pain, and it is important for the emergency physician to quickly and accurately diagnose life threatening cause...
Deep Learning Algorithm Predicts Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead Electrocardiogram.
The Canadian journal of cardiology
Aug 20, 2021
BACKGROUND: Current electrocardiogram analysis algorithms cannot predict the presence of coronary artery disease (CAD), especially in stable patients. This study assessed the ability of an artificial intelligence algorithm (ECGio; HEARTio Inc, Pittsb...
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.
International journal of molecular sciences
Aug 19, 2021
Accurate identification of bitter peptides is of great importance for better understanding their biochemical and biophysical properties. To date, machine learning-based methods have become effective approaches for providing a good avenue for identify...
Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening.
JACC. Cardiovascular imaging
Aug 18, 2021
Fully Automated Deep Learning Tool for Sarcopenia Assessment on CT: L1 Versus L3 Vertebral Level Muscle Measurements for Opportunistic Prediction of Adverse Clinical Outcomes.
AJR. American journal of roentgenology
Aug 18, 2021
Sarcopenia is associated with adverse clinical outcomes. CT-based skeletal muscle measurements for sarcopenia assessment are most commonly performed at the L3 vertebral level. The purpose of this article is to compare the utility of fully automated...
Automatic detection of pathological myopia using machine learning.
Scientific reports
Aug 16, 2021
Pathological myopia is a severe case of myopia, i.e., nearsightedness. Pathological myopia is also known as degenerative myopia because it ultimately leads to blindness. In pathological myopia, certain myopia-specific pathologies occur at the eye's p...
Large Vessel Occlusion Prediction in the Emergency Department with National Institutes of Health Stroke Scale Components: A Machine Learning Approach.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 15, 2021
OBJECTIVE: To determine the feasibility of using a machine learning algorithm to screen for large vessel occlusions (LVO) in the Emergency Department (ED).
Artificial Inteligence-Based Decision for the Prediction of Cardioembolism in Patients with Chagas Disease and Ischemic Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 13, 2021
BACKGROUND: Chagas disease (CD) and ischemic stroke (IS) have a close, but poorly understood, association. There is paucity of evidence on the ideal secondary prophylaxis and etiological determination, with few cardioembolic patients being identified...
Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.
Arteriosclerosis, thrombosis, and vascular biology
Aug 12, 2021
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...
Software
Mice, Knockout, ApoE
Plaque, Atherosclerotic
Arteries
Staining and Labeling
Disease Models, Animal
Atherosclerosis
Severity of Illness Index
Mice, Inbred C57BL
Female
Microscopy
Diagnosis, Computer-Assisted
Predictive Value of Tests
Reproducibility of Results
Image Interpretation, Computer-Assisted
Animals
Vascular Remodeling
Male
Deep Learning
Mice
A Machine Learning Approach in Predicting Mortality Following Emergency General Surgery.
The American surgeon
Aug 11, 2021
BACKGROUND: There is a significant mortality burden associated with emergency general surgery (EGS) procedures. The objective of this study was to develop and validate the use of a machine learning approach to predict mortality following EGS.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31767
- Neural Networks, Computer 30117
- Algorithms 27276
- Deep Learning 26781
- Artificial Intelligence 24716
- Robotics 13369
- Image Processing, Computer-Assisted 9692
- Retrospective Studies 9292
- Magnetic Resonance Imaging 6305
- Reproducibility of Results 5656
- Tomography, X-Ray Computed 4848
- Support Vector Machine 4746
- Computational Biology 4308
- Brain 4104
- Computer Simulation 3925
Recent Journals
- Scientific reports 6466
- Sensors (Basel, Switzerland) 4794
- PloS one 4133
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1907
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1156
- Journal of chemical information and modeling 1033
- Nature communications 997
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 869
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 842