AIMC Topic: Humans

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Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation.

Journal of healthcare engineering Feb 24, 2019
Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liver disease and treatment monitoring. In this paper, we generalize the process of a level set with a novel algorithm of dynamic regulation to energy fu...
Imaging, Three-Dimensional Databases, Factual Humans Tomography, X-Ray Computed Liver Neural Networks, Computer Liver Neoplasms Algorithms
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Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy.

International ophthalmology Feb 23, 2019
PURPOSE: We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect treatment-naïve proliferative diabetic retinopathy (PDR).
Humans Diabetic Retinopathy Female Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Aged Adult Sensitivity and Specificity Area Under Curve Ophthalmoscopy
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Deep learning for waveform identification of resting needle electromyography signals.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Feb 23, 2019
OBJECTIVE: Given the recent advent in machine learning and artificial intelligence on medical data analysis, we hypothesized that the deep learning algorithm can classify resting needle electromyography (n-EMG) discharges.
Electromyography Humans Deep Learning Muscle, Skeletal Neural Networks, Computer Algorithms
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Medicaid Open Fracture Reduction Anemia Renal Insufficiency Lung Diseases Ankle Fractures Machine Learning Medicare Algorithms Heart Failure Humans Length of Stay Cross-Sectional Studies Databases, Factual Hospital Mortality Age Factors Hypertension Male Middle Aged Female United States Fracture Fixation, Internal Diabetes Mellitus Postoperative Complications Risk Factors
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Machine learning in whole-body MRI: experiences and challenges from an applied study using multicentre data.

Clinical radiology Feb 23, 2019
Machine learning is now being increasingly employed in radiology to assist with tasks such as automatic lesion detection, segmentation, and characterisation. We are currently involved in an National Institute of Health Research (NIHR)-funded project,...
Observational Studies as Topic Multicenter Studies as Topic Whole Body Imaging Humans Neoplasms Magnetic Resonance Imaging Machine Learning Algorithms
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Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders.

Forensic science international Feb 23, 2019
Investigating crimes against children, specifically sexual solicitations, are complicated because not all offenders are contact-driven, meaning they want to meet the minor for sex in the physical world; instead, some offenders are fantasy-driven, in ...
Child Abuse, Sexual Algorithms Adult Child Humans Forensic Sciences Police Support Vector Machine Software Linguistics Fantasy Natural Language Processing Internet
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Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.

Journal of biomedical informatics Feb 23, 2019
We propose an efficient natural language processing approach for inferring the BI-RADS final assessment categories by analyzing only the mammogram findings reported by the mammographer in narrative form. The proposed hybrid method integrates semantic...
Radiographic Image Interpretation, Computer-Assisted Breast Data Mining Semantics Deep Learning Mammography Natural Language Processing Humans Female
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Bone Marrow Cells Detection: A Technique for the Microscopic Image Analysis.

Journal of medical systems Feb 23, 2019
In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) is an important parameter for the evaluation. In this study, we propose a new counting method, which consists of three modules including localization,...
Algorithms Image Processing, Computer-Assisted Humans Support Vector Machine Color Pattern Recognition, Automated Bone Marrow Cells Cell Nucleus Microscopy
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Natural language processing of lifestyle modification documentation.

Health informatics journal Feb 22, 2019
Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment of many disorders including hypertension, obesity, and diabetes. Lifestyle modification data are not easily retrieved or used in research due to thei...
Humans Male Natural Language Processing Research Design Documentation Electronic Health Records Life Style Female
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Towards end-to-end likelihood-free inference with convolutional neural networks.

The British journal of mathematical and statistical psychology Feb 22, 2019
Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fu...
Regression Analysis Bayes Theorem Humans Likelihood Functions Neural Networks, Computer Machine Learning Algorithms Computer Simulation
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