AIMC Topic: Humans

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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 Radiography Anatomic Landmarks Spine Neural Networks, Computer Deep Learning Models, Statistical
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Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes.

Annals of the rheumatic diseases Mar 12, 2019
OBJECTIVES: Juvenile idiopathic arthritis (JIA) is the most common class of childhood rheumatic diseases, with distinct disease subsets that may have diverging pathophysiological origins. Both adaptive and innate immune processes have been proposed a...
Machine Learning Female Male Humans Case-Control Studies Child Adolescent Flow Cytometry Child, Preschool Arthritis, Juvenile Immunophenotyping Adaptive Immunity
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Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.

Medical physics Mar 12, 2019
OBJECTIVES: The aim of this study was to develop a fully automated deep learning approach for identification of the pectoral muscle on mediolateral oblique (MLO) view mammograms and evaluate its performance in comparison to our previously developed t...
Image Processing, Computer-Assisted Mammography Radiologists Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Observer Variation Pectoralis Muscles Humans Neural Networks, Computer Algorithms Female
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Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network.

Medical physics Mar 12, 2019
PURPOSE: Ventilation images can be derived from four-dimensional computed tomography (4DCT) by analyzing the change in HU values and deformable vector fields between different respiration phases of computed tomography (CT). As deformable image regist...
Deep Learning Image Processing, Computer-Assisted Pulmonary Ventilation Four-Dimensional Computed Tomography Humans
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HABITAT: An IoT Solution for Independent Elderly.

Sensors (Basel, Switzerland) Mar 12, 2019
In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Art...
Male Female Internet Aged Humans Aged, 80 and over Artificial Intelligence Delivery of Health Care
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Use of artificial neural networks to identify the predictive factors of extracorporeal shock wave therapy treating patients with chronic plantar fasciitis.

Scientific reports Mar 12, 2019
The purpose of our study is to identify the predictive factors for a minimum clinically successful therapy after extracorporeal shock wave therapy for chronic plantar fasciitis. The demographic and clinical characteristics were evaluated. The artific...
Humans Extracorporeal Shockwave Therapy Fasciitis, Plantar Adult Neural Networks, Computer Follow-Up Studies Male Female Chronic Disease Middle Aged Aged Models, Biological
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Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation.

Scientific reports Mar 12, 2019
Quantitative SPECT/CT is potentially useful for more accurate and reliable measurement of glomerular filtration rate (GFR) than conventional planar scintigraphy. However, manual drawing of a volume of interest (VOI) on renal parenchyma in CT images i...
Female Aged Adult Humans Male Middle Aged Kidney Deep Learning Glomerular Filtration Rate Single Photon Emission Computed Tomography Computed Tomography
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Predicting protein-peptide interaction sites using distant protein complexes as structural templates.

Scientific reports Mar 12, 2019
Protein-peptide interactions play an important role in major cellular processes, and are associated with several human diseases. To understand and potentially regulate these cellular function and diseases it is important to know the molecular details...
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Datasets as Topic Peptides Binding Sites Molecular Docking Simulation Humans Protein Binding Protein Interaction Mapping Machine Learning Proteins Computational Biology Software Amino Acid Sequence Cluster Analysis
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Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model.

Scientific reports Mar 12, 2019
Measuring conditional relatedness between a pair of genes is a fundamental technique and still a significant challenge in computational biology. Such relatedness can be assessed by gene expression similarities while suffering high false discovery rat...
Computational Biology Models, Genetic Databases, Nucleic Acid Humans Machine Learning Gene Regulatory Networks
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Clinical applications of machine learning algorithms: beyond the black box.

BMJ (Clinical research ed.) Mar 12, 2019
Health Knowledge, Attitudes, Practice Ethics, Medical Computer Security Clinical Decision-Making Diagnosis, Computer-Assisted Attitude of Health Personnel Therapy, Computer-Assisted Attitude to Computers Humans Machine Learning Algorithms
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