AIMC Topic: Algorithms

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PVsiRNAPred: Prediction of plant exclusive virus-derived small interfering RNAs by deep convolutional neural network.

Journal of bioinformatics and computational biology Dec 1, 2019
Plant exclusive virus-derived small interfering RNAs (vsiRNAs) regulate various biological processes, especially important in antiviral immunity. The identification of plant vsiRNAs is important for understanding the biogenesis and function mechanism...
RNA, Small Interfering ROC Curve Plants Computational Biology Plant Viruses Host-Pathogen Interactions Databases, Genetic Neural Networks, Computer Algorithms
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Artificial intelligence in the diagnosis of cardiovascular disease.

Revista da Associacao Medica Brasileira (1992) Dec 1, 2019
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of ...
Cardiovascular Diseases Supervised Machine Learning Big Data Algorithms Unsupervised Machine Learning Precision Medicine Humans Artificial Intelligence
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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.

Chaos (Woodbury, N.Y.) Dec 1, 2019
We suggest a new method for building data-driven dynamical models from observed multidimensional time series. The method is based on a recurrent neural network with specific structure, which allows for the joint reconstruction of both a low-dimension...
Probability Stochastic Processes Atmosphere Bayes Theorem Signal Processing, Computer-Assisted Algorithms Computer Simulation Models, Theoretical Neural Networks, Computer Data Analysis
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Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images.

Journal of biomedical optics Dec 1, 2019
We study a problem scenario of super-resolution (SR) algorithms in the context of whole slide imaging (WSI), a popular imaging modality in digital pathology. Instead of just one pair of high- and low-resolution images, which is typically the setup in...
Humans Neural Networks, Computer Machine Learning Algorithms Neoplasms Microscopy Image Interpretation, Computer-Assisted Histological Techniques
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Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir Dec 1, 2019
OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking ra...
Male Ultrasonography Image Processing, Computer-Assisted Carotid Arteries Machine Learning Humans Algorithms Female
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Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms.

Journal of biomedical optics Dec 1, 2019
Corneal thickness (CoT) is an important tool in the evaluation process for several disorders and in the assessment of intraocular pressure. We present a method enabling high-precision measurement of CoT based on secondary speckle tracking and process...
Cornea Middle Aged Image Interpretation, Computer-Assisted Phantoms, Imaging Corneal Pachymetry Aged Young Adult Adult Machine Learning Algorithms Humans Neural Networks, Computer
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Artificial intelligence and algorithmic bias: implications for health systems.

Journal of global health Dec 1, 2019
Delivery of Health Care Bias Artificial Intelligence Algorithms Humans
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Juan C. Caicedo.

Nature methods Dec 1, 2019
Humans Microscopy Machine Learning Algorithms Image Processing, Computer-Assisted
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Accuracy of Kalman Filtering in Forecasting Visual Field and Intraocular Pressure Trajectory in Patients With Ocular Hypertension.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: Techniques that properly identify patients in whom ocular hypertension (OHTN) is likely to progress to open-angle glaucoma can assist clinicians with deciding on the frequency of monitoring and the potential benefit of early treatment.
Humans Machine Learning Tonometry, Ocular Visual Field Tests Glaucoma, Open-Angle Ocular Hypertension Female Reproducibility of Results Intraocular Pressure Algorithms Diagnosis, Computer-Assisted Aged Male Forecasting Cohort Studies Middle Aged Visual Fields
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Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13).

Proteins Dec 1, 2019
We describe AlphaFold, the protein structure prediction system that was entered by the group A7D in CASP13. Submissions were made by three free-modeling (FM) methods which combine the predictions of three neural networks. All three systems were guide...
Neural Networks, Computer Algorithms Models, Molecular Protein Conformation Protein Folding Computational Biology Proteins Databases, Protein
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