AI Medical Compendium Topic:
Models, Statistical

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Selene: a PyTorch-based deep learning library for sequence data.

Nature methods Mar 28, 2019
To enable the application of deep learning in biology, we present Selene (https://selene.flatironinstitute.org/), a PyTorch-based deep learning library for fast and easy development, training, and application of deep learning model architectures for ...
Area Under Curve Mutation Alzheimer Disease Programming Languages Gene Library Mutagenesis Normal Distribution Genomics Computational Biology Sequence Analysis, DNA Models, Statistical Neural Networks, Computer Software Algorithms Deep Learning Humans
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Machine learning for patient risk stratification for acute respiratory distress syndrome.

PloS one Mar 28, 2019
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance-limiting their suitability for driving clinical interventions. We sought to develop a machine learni...
Male Models, Statistical Humans Middle Aged Machine Learning Risk Assessment Respiratory Distress Syndrome Female Aged
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Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Humans Patient Discharge Spondylolisthesis Aged Machine Learning Male Algorithms Middle Aged Databases, Factual Models, Statistical Female
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A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

Magnetic resonance imaging Mar 26, 2019
The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the resulting imaging metrics allows for improved inference and increased replicability. Previous work has shown promise for estimation of bias and variance of ge...
Models, Statistical Bias Signal-To-Noise Ratio Monte Carlo Method Anisotropy Diffusion Magnetic Resonance Imaging Nerve Net Diffusion Tensor Imaging Algorithms Brain Reproducibility of Results Deep Learning Humans
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Deep-learning augmented RNA-seq analysis of transcript splicing.

Nature methods Mar 25, 2019
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://github.com/Xinglab/DARTS), a computational framework that integrates deep-learning-based predictions...
Epigenomics Hep G2 Cells Models, Statistical Bayes Theorem Reproducibility of Results Gene Expression Profiling Deep Learning Sequence Analysis, RNA K562 Cells RNA Splicing Exons Alternative Splicing Signal Processing, Computer-Assisted RNA Humans High-Throughput Nucleotide Sequencing Gene Expression Regulation Algorithms
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A predictive model for the evaluation of flavor attributes of raw and cooked beef based on sensor array analyses.

Food research international (Ottawa, Ont.) Mar 22, 2019
There are currently no standardized objective measures to evaluate beef flavor attributes, especially the comparison between raw beef and cooked beef. Beef flavor attribute is one of the most significant parameters for consumers. This study described...
Cooking Food Preferences Red Meat Raw Foods Cluster Analysis Models, Statistical Humans Odorants Neural Networks, Computer Taste Algorithms Young Adult Adult
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A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy.

BJU international Mar 20, 2019
OBJECTIVES: To predict urinary continence recovery after robot-assisted radical prostatectomy (RARP) using a deep learning (DL) model, which was then used to evaluate surgeon's historical patient outcomes.
Male Surgeons Middle Aged Postoperative Complications Humans Deep Learning Recovery of Function Aged Prostate Cohort Studies Robotic Surgical Procedures Prostatectomy Treatment Outcome Urinary Incontinence Models, Statistical
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Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Mar 15, 2019
OBJECTIVE: The fields of medicine and public health are undergoing a data revolution. An increasing availability of data has brought about a growing interest in machine-learning algorithms. Our objective is to present the reader with an introduction ...
Humans Machine Learning Precision Medicine Risk Factors Treatment Outcome Models, Statistical Data Interpretation, Statistical Risk Assessment Neoplasms Bayes Theorem Data Mining Heart Diseases
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Convolutional neural network for cell classification using microscope images of intracellular actin networks.

PloS one Mar 13, 2019
Automated cell classification is an important yet a challenging computer vision task with significant benefits to biomedicine. In recent years, there have been several studies attempted to build an artificial intelligence-based cell classifier using ...
MCF-7 Cells Microscopy, Fluorescence Humans Neural Networks, Computer Machine Learning Algorithms Female Breast Reproducibility of Results Breast Neoplasms Automation Pattern Recognition, Automated Actins Cytoplasm Cytoskeleton Cell Line, Tumor Image Processing, Computer-Assisted Cell Line Models, Statistical
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Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 12, 2019
PURPOSE: We present an automated method for extracting anatomical parameters from biplanar radiographs of the spine, which is able to deal with a wide scenario of conditions, including sagittal and coronal deformities, degenerative phenomena as well ...
Hip Joint Spinal Curvatures Humans Neural Networks, Computer Radiography Anatomic Landmarks Spine Deep Learning Models, Statistical
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