AIMC Topic: Humans

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Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.

BMC cancer May 17, 2019
PURPOSE: To explore imaging biomarkers that can be used for diagnosis and prediction of pathologic stage in non-small cell lung cancer (NSCLC) using multiple machine learning algorithms based on CT image feature analysis.
Humans Machine Learning Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Female Neoplasm Staging Male Image Interpretation, Computer-Assisted Lung Neoplasms
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Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus.

Journal of medical systems May 17, 2019
Although machine learning models are increasingly being developed for clinical decision support for patients with type 2 diabetes, the adoption of these models into clinical practice remains limited. Currently, machine learning (ML) models are being ...
Humans Machine Learning Precision Medicine Prognosis Middle Aged Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Diabetes Complications Female Aged Adult Male
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Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex.

NeuroImage May 16, 2019
Goal-driven and feedforward-only convolutional neural networks (CNN) have been shown to be able to predict and decode cortical responses to natural images or videos. Here, we explored an alternative deep neural network, variational auto-encoder (VAE)...
Brain Mapping Pattern Recognition, Visual Visual Cortex Magnetic Resonance Imaging Models, Neurological Unsupervised Machine Learning Humans Neural Networks, Computer Female Young Adult Adult Image Processing, Computer-Assisted
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Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer's Disease Based on an Extreme Learning Machine Method from the ADNI cohort.

Neuroscience May 16, 2019
Computer-aided diagnosis has become a widely-used auxiliary tool for the diagnosis of Alzheimer's disease (AD). In this study, we developed an extreme learning machine (ELM) model to discriminate between patients with AD and normal controls (NCs) usi...
Female Aged Aged, 80 and over Male Humans Machine Learning Brain Neuroimaging Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted
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Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.

Computer methods and programs in biomedicine May 16, 2019
BACKGROUND AND OBJECTIVE: We propose an automatic approach for fast vertebral body segmentation in three-dimensional magnetic resonance images of the whole spine. Previous works are limited to the lower thoracolumbar section and often take minutes to...
Magnetic Resonance Imaging Software Humans Spine Algorithms Neural Networks, Computer Pattern Recognition, Automated Reproducibility of Results Machine Learning Image Processing, Computer-Assisted
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ONCOhabitats: A system for glioblastoma heterogeneity assessment through MRI.

International journal of medical informatics May 16, 2019
BACKGROUND: Neuroimaging analysis is currently crucial for an early assessment of glioblastoma, to help improving treatment and tumor follow-up. To this end, multiple functional and morphological MRI sequences are usually employed, requiring the deve...
Neuroimaging Prognosis Retrospective Studies Humans Female Neural Networks, Computer Middle Aged Aged Aged, 80 and over Software Image Processing, Computer-Assisted Adult Magnetic Resonance Imaging Male Glioblastoma
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Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability.

Journal of environmental management May 16, 2019
In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfires are exacerbated by climate change and unplanned human activities. Development of robust management and suppression plans requires accurate estimates...
Neural Networks, Computer Algorithms Ecosystem Fuzzy Logic Wildfires Iran Probability Humans
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Democratizing AI.

Journal of the American College of Radiology : JACR May 16, 2019
Magnetic Resonance Imaging Radiology Radiologists Quality Control Humans Female Artificial Intelligence Risk Factors Radiation Exposure Forecasting Male Tomography, X-Ray Computed
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Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches.

Schizophrenia research May 16, 2019
The ubiquity of smartphones opened up the possibility of widespread use of the Experience Sampling Method (ESM). The method is used to collect longitudinal data of participants' daily life experiences and is ideal to capture fluctuations in emotions ...
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Humans Neural Networks, Computer Machine Learning Female Male Case-Control Studies Monte Carlo Method Ecological Momentary Assessment ROC Curve Support Vector Machine Smartphone Emotions Logistic Models Principal Component Analysis Psychotic Disorders
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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.

Virchows Archiv : an international journal of pathology May 16, 2019
Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-observer variability, which may result in suboptimal treatment of patients. With the introduction of digitization and whole-slide images of prostate b...
Image Interpretation, Computer-Assisted Observer Variation Pattern Recognition, Automated Automation, Laboratory Reproducibility of Results Male Humans Predictive Value of Tests Deep Learning Prostatic Neoplasms Neoplasm Grading Biopsy
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