AIMC Topic: Humans

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Multi-Class Neural Networks to Predict Lung Cancer.

Journal of medical systems May 31, 2019
Lung Cancer is the leading cause of death among all the cancers' in today's world. The survival rate of the patients is 85% if the cancer can be diagnosed during Stage 1. Mining of the patient records can help in diagnosing cancer during Stage 1. Usi...
Data Mining Pattern Recognition, Automated Neural Networks, Computer Humans Algorithms Lung Neoplasms
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Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure.

Physics in medicine and biology May 31, 2019
Dual-energy chest radiography (DECR) is a medical imaging technology that can improve diagnostic accuracy. This technique can decompose single-energy chest radiography (SECR) images into separate bone- and soft tissue-only images. This can, however, ...
Image Processing, Computer-Assisted Radiography Thorax Radiation Exposure Humans Deep Learning
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Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction.

PloS one May 31, 2019
Solar energy is a major type of renewable energy, and its estimation is important for decision-makers. This study introduces a new prediction model for solar radiation based on support vector regression (SVR) and the improved particle swarm optimizat...
Wind Humans Turkey Sunlight Support Vector Machine Solar Energy Algorithms Regression Analysis Humidity Forecasting
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Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 31, 2019
The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidimensional technology with va...
Ophthalmology Eye Diseases Diagnostic Techniques, Ophthalmological Humans Algorithms Artificial Intelligence Deep Learning Machine Learning
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Improving Workflow Efficiency for Mammography Using Machine Learning.

Journal of the American College of Radiology : JACR May 30, 2019
OBJECTIVE: The aim of this study was to determine whether machine learning could reduce the number of mammograms the radiologist must read by using a machine-learning classifier to correctly identify normal mammograms and to select the uncertain and ...
Quality Improvement Image Interpretation, Computer-Assisted United Kingdom Humans Diagnosis, Computer-Assisted Mammography Workflow Machine Learning Efficiency, Organizational Female Breast Neoplasms
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Deep learning facilitates the diagnosis of adult asthma.

Allergology international : official journal of the Japanese Society of Allergology May 30, 2019
BACKGROUND: We explored whether the use of deep learning to model combinations of symptom-physical signs and objective tests, such as lung function tests and the bronchial challenge test, would improve model performance in predicting the initial diag...
Algorithms Female Asthma ROC Curve Models, Theoretical Logistic Models Support Vector Machine Male Humans Deep Learning Neural Networks, Computer Artificial Intelligence
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Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.

Human brain mapping May 30, 2019
Schizophrenia (SCZ) patients and their unaffected first-degree relatives (FDRs) share similar functional neuroanatomy. However, it remains largely unknown to what extent unaffected FDRs with functional neuroanatomy patterns similar to patients can be...
Pattern Recognition, Automated Cerebral Cortex Family Magnetic Resonance Imaging Schizophrenia Cerebellum Connectome Nerve Net Female Young Adult Adult Sensitivity and Specificity Male Cognitive Dysfunction Humans Machine Learning Biomarkers
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Spatio-temporal deep learning models for tip force estimation during needle insertion.

International journal of computer assisted radiology and surgery May 30, 2019
PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as brachytherapy or biopsy. Forces acting at the needle cause tissue deformation and needle deflection which in turn may lead to misplacement or injury. He...
Algorithms Deep Learning Tomography, Optical Coherence Equipment Design Humans Brachytherapy Mechanical Phenomena Biopsy Calibration Needles
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Machine learning-aided personalized DTI tractographic planning for deep brain stimulation of the superolateral medial forebrain bundle using HAMLET.

Acta neurochirurgica May 30, 2019
BACKGROUND: Growing interest exists for superolateral medial forebrain bundle (slMFB) deep brain stimulation (DBS) in psychiatric disorders. The surgical approach warrants tractographic rendition. Commercial stereotactic planning systems use determin...
Diffusion Tensor Imaging Patient Care Planning Obsessive-Compulsive Disorder Neurosurgical Procedures Machine Learning Deep Brain Stimulation Algorithms Stereotaxic Techniques Female Humans Middle Aged Medial Forebrain Bundle Depressive Disorder, Major Adult Male
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Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.

Computers in biology and medicine May 30, 2019
The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second most common type of cancer affecting women in the United States. Normally, human epidermal growth factor receptor 2 (HER2) proteins are responsible for t...
Receptor, ErbB-2 Cell Membrane Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Female
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