AIMC Topic: Humans

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ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches.

Journal of chemical information and modeling Nov 5, 2019
Adverse effects induced by drug-drug interactions may result in early termination of drug development or even withdrawal of drugs from the market, and many drug-drug interactions are caused by the inhibition of cytochrome P450 (CYP450) enzymes. There...
Humans Neural Networks, Computer Artificial Intelligence Cytochrome P-450 Enzyme System Quantitative Structure-Activity Relationship Protein Isoforms Cytochrome P-450 Enzyme Inhibitors Machine Learning Algorithms Drug Discovery Models, Biological
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Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training.

Sensors (Basel, Switzerland) Nov 5, 2019
Technologies such as robot-assisted gait trainers or functional electrical stimulation can improve the rehabilitation process of people affected with gait disorders due to stroke or other neurological defects. By combining both technologies, the pote...
Acceleration Foot Electric Stimulation Signal Processing, Computer-Assisted Gait Feasibility Studies Electrodes Adult Male Robotics Humans Algorithms
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Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.

BMC medical informatics and decision making Nov 5, 2019
BACKGROUND: Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled h...
Humans Health Surveys Cross-Sectional Studies Machine Learning Logistic Models Female Middle Aged Ethiopia Clinical Decision-Making Young Adult Maternal Health Services Pregnancy Bayes Theorem Delivery, Obstetric Adult Adolescent
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Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

NeuroImage. Clinical Nov 5, 2019
Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheimer's disease. The aetiology and pathogenesis of Parkinson's disease (PD) are still unclear, but the loss of dopaminergic cells and the excessive iron ...
Middle Aged Brain Magnetic Resonance Imaging Humans Parkinson Disease Case-Control Studies Female Neural Networks, Computer Iron Aged Image Processing, Computer-Assisted Machine Learning Substantia Nigra Male
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Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation.

NeuroImage. Clinical Nov 5, 2019
PURPOSE: Accurate lesion segmentation is important for measurements of lesion load and atrophy in subjects with multiple sclerosis (MS). International MS lesion challenges show a preference of convolutional neural networks (CNN) strategies, such as n...
Female Adult Male Middle Aged Humans Deep Learning Supervised Machine Learning Neural Networks, Computer Multiple Sclerosis, Relapsing-Remitting Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Unsupervised Machine Learning
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Validation of a Deep Learning Algorithm for Diabetic Retinopathy.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Nov 4, 2019
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Humans Ophthalmologists Diabetic Retinopathy Algorithms Diabetes Mellitus Sensitivity and Specificity Mass Screening Deep Learning Diagnostic Techniques, Ophthalmological
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Pulmonary Textures Classification via a Multi-Scale Attention Network.

IEEE journal of biomedical and health informatics Nov 4, 2019
Precise classification of pulmonary textures is crucial to develop a computer aided diagnosis (CAD) system of diffuse lung diseases (DLDs). Although deep learning techniques have been applied to this task, the classification performance is not satisf...
Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Lung Diseases Humans Tomography, X-Ray Computed Lung
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Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.

Journal of neurointerventional surgery Nov 4, 2019
BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thus are likely key components of acute ischemic stroke (AIS) emboli. We aimed to characterize platelet and vWF levels in AIS emboli and to assess associ...
Humans Machine Learning Thromboembolism Cerebral Revascularization Female Male Stroke Treatment Outcome Brain Ischemia Blood Platelets von Willebrand Factor
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ASO Author Reflections: Resection for Hepatocellular Carcinoma Beyond the BCLC Guidelines-How Can Machine Learning Techniques Help?

Annals of surgical oncology Nov 4, 2019
Carcinoma, Hepatocellular Tumor Burden Practice Guidelines as Topic Hepatectomy Humans Machine Learning Liver Neoplasms
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A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Support Vector Machine Female Reproducibility of Results Breast Neoplasms Pattern Recognition, Automated False Positive Reactions Mammography Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Breast Humans Machine Learning Algorithms
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