AIMC Topic: Humans

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Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

Nature medicine Feb 11, 2019
Artificial intelligence (AI)-based methods have emerged as powerful tools to transform medical care. Although machine learning classifiers (MLCs) have already demonstrated strong performance in image-based diagnoses, analysis of diverse and massive e...
Retrospective Studies Electronic Health Records Female Humans Artificial Intelligence Machine Learning Proof of Concept Study China Adolescent Child, Preschool Child Natural Language Processing Infant Pediatrics Infant, Newborn Diagnosis, Computer-Assisted Reproducibility of Results Deep Learning Male
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NCBoost classifies pathogenic non-coding variants in Mendelian diseases through supervised learning on purifying selection signals in humans.

Genome biology Feb 11, 2019
State-of-the-art methods assessing pathogenic non-coding variants have mostly been characterized on common disease-associated polymorphisms, yet with modest accuracy and strong positional biases. In this study, we curated 737 high-confidence pathogen...
Humans Polymorphism, Single Nucleotide Genetic Diseases, Inborn Whole Genome Sequencing DNA, Intergenic Supervised Machine Learning Selection, Genetic
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Vision-aided brain-machine interface training system for robotic arm control and clinical application on two patients with cervical spinal cord injury.

Biomedical engineering online Feb 11, 2019
BACKGROUND: While spontaneous robotic arm control using motor imagery has been reported, most previous successful cases have used invasive approaches with advantages in spatial resolution. However, still many researchers continue to investigate metho...
Spinal Cord Injuries Visual Perception Software Magnetic Resonance Imaging Robotics Cervical Vertebrae Arm Brain-Computer Interfaces Humans
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Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment.

PloS one Feb 11, 2019
BACKGROUND/AIMS: Trachoma programs base treatment decisions on the community prevalence of the clinical signs of trachoma, assessed by direct examination of the conjunctiva. Automated assessment could be more standardized and more cost-effective. We ...
Image Processing, Computer-Assisted Trachoma Ethiopia Artificial Intelligence Photography Conjunctiva Humans Algorithms Eyelids Neural Networks, Computer Prevalence Niger
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Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks.

Artificial intelligence in medicine Feb 10, 2019
In recent years, there is a rapid increase in the population of elderly people. However, elderly people may suffer from the consequences of cognitive decline, which is a mental health disorder that primarily affects cognitive abilities such as learni...
Dementia Humans Neural Networks, Computer Mental Disorders
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Improved Convolutional Pose Machines for Human Pose Estimation Using Image Sensor Data.

Sensors (Basel, Switzerland) Feb 10, 2019
In recent years, increasing human data comes from image sensors. In this paper, a novel approach combining convolutional pose machines (CPMs) with GoogLeNet is proposed for human pose estimation using image sensor data. The first stage of the CPMs di...
Image Processing, Computer-Assisted Posture Human Activities Neural Networks, Computer Algorithms Computer Simulation Humans
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Recognition and Repetition Counting for ComplexPhysical Exercises with Deep Learning.

Sensors (Basel, Switzerland) Feb 10, 2019
Activity recognition using off-the-shelf smartwatches is an important problem in humanactivity recognition. In this paper, we present an end-to-end deep learning approach, able to provideprobability distributions over activities from raw sensor data....
Accelerometry Sports Human Activities Deep Learning Wearable Electronic Devices Pattern Recognition, Automated Humans Algorithms Exercise
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Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis.

International journal of neural systems Feb 8, 2019
Although electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder (MDD), the mechanism underlying the therapeutic efficacy and side effects of ECT remains poorly understood. Here, we investigated alteratio...
Adult Male Middle Aged Humans Organ Size Depressive Disorder, Major Female Cerebral Cortex Support Vector Machine Electroconvulsive Therapy Longitudinal Studies
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Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification.

IEEE transactions on medical imaging Feb 8, 2019
Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essential to assist ophthalmologist in the diagnosis and grading of macular diseases. Clinically, ophthalmologists usually diagnose macular diseases accordi...
Databases, Factual Tomography, Optical Coherence Retina Retinal Diseases Humans Neural Networks, Computer
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Machine learning identifies "rsfMRI epilepsy networks" in temporal lobe epilepsy.

European radiology Feb 8, 2019
OBJECTIVES: Experimental models have provided compelling evidence for the existence of neural networks in temporal lobe epilepsy (TLE). To identify and validate the possible existence of resting-state "epilepsy networks," we used machine learning met...
Female Young Adult Adult Humans Machine Learning Cerebellum Male Epilepsy, Temporal Lobe Magnetic Resonance Imaging Thalamus Electroencephalography
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