AIMC Topic: Humans

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Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.

Journal of magnetic resonance imaging : JMRI Jul 13, 2019
BACKGROUND: Diffusion-weighted imaging (DWI) in MRI plays an increasingly important role in diagnostic applications and developing imaging biomarkers. Automated whole-breast segmentation is an important yet challenging step for quantitative breast im...
Magnetic Resonance Imaging Breast Diffusion Magnetic Resonance Imaging Humans Retrospective Studies Deep Learning
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Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration.

Journal of the American College of Surgeons Jul 13, 2019
BACKGROUND: Accurate estimation of operative case-time duration is critical for optimizing operating room use. Current estimates are inaccurate and earlier models include data not available at the time of scheduling. Our objective was to develop stat...
Humans Linear Models Middle Aged Algorithms Machine Learning Aged, 80 and over Operating Rooms Adolescent Retrospective Studies Models, Organizational Young Adult Operative Time Female Adult Aged Efficiency, Organizational Male
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A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram.

Journal of neuroscience methods Jul 13, 2019
BACKGROUND: Finding interictal epileptiform discharges (IEDs) in the EEG is a part of diagnosing epilepsy. Automated software for annotating EEGs of patients with suspected epilepsy can therefore help with reaching a diagnosis. A large amount of data...
Epilepsy Signal Processing, Computer-Assisted Cerebral Cortex Machine Learning Humans Adult Support Vector Machine Electroencephalography
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Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record.

Urology Jul 13, 2019
OBJECTIVES: To demonstrate the utility of a natural language processing (NLP) algorithm for mining kidney stone composition in a large-scale electronic health records (EHR) repository.
Electronic Health Records Female Male Case-Control Studies Natural Language Processing Kidney Calculi Humans
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Disability in multiple sclerosis is associated with age and inflammatory, metabolic and oxidative/nitrosative stress biomarkers: results of multivariate and machine learning procedures.

Metabolic brain disease Jul 13, 2019
The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress (IM&NO) biomarkers as predictors of disability in multiple sclerosis (MS) patients. A total of 122 patients with MS were included; their disability w...
Nitrosative Stress Inflammation Body Mass Index Age Factors Disability Evaluation Adult Uric Acid Male Homocysteine Humans Middle Aged Multiple Sclerosis Machine Learning Oxidative Stress Cholesterol, HDL Biomarkers Female
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Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 13, 2019
PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEAR) in patients with hemiplegia after primary stroke.
Mobility Limitation Walk Test Humans Female Robotics Disability Evaluation Equipment Design Stroke Exercise Therapy Middle Aged Gait Analysis Time Factors Gait Hemiplegia Aged Treatment Outcome Japan Young Adult Recovery of Function Adult Male
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Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks.

Sensors (Basel, Switzerland) Jul 13, 2019
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system c...
Education, Medical Humans Manikins Posture Neural Networks, Computer Thorax Computer-Assisted Instruction Databases, Factual Equipment Design Data Curation Surveys and Questionnaires Body Weight Cardiopulmonary Resuscitation Information Storage and Retrieval
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The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.

Journal of medical systems Jul 13, 2019
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they can do serious harm to patients' health. However, ...
Humans Neural Networks, Computer Databases, Factual Melanoma Skin Neoplasms Melanoma, Cutaneous Malignant Patient Participation Cell Phone Deep Learning Area Under Curve
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Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeutics.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: There is a lack of research studying patient-generated data on Reddit, one of the world's most popular forums with active users interested in dermatology. Techniques within natural language processing, a field of artificial intelligence, ...
Humans Software Reproducibility of Results Feasibility Studies Dermatology Patient Outcome Assessment Acne Vulgaris Sunbathing Cluster Analysis Psoriasis Social Media Natural Language Processing
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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.
Keratosis, Seborrheic Spain International Cooperation Internship and Residency Nevus ROC Curve United States Diagnosis, Differential Skin Dermatologists Israel Colombia Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Cross-Sectional Studies Deep Learning Humans Melanoma
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