AIMC Topic: Humans

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A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation.

IEEE transactions on neural networks and learning systems Feb 5, 2019
Previous studies on robotic rehabilitation have shown that subjects' active participation and effort involved in rehabilitation training can promote the performance of therapies. In order to improve the voluntary effort of participants during the reh...
Virtual Reality Exposure Therapy Normal Distribution Photic Stimulation Upper Extremity Neural Networks, Computer Robotics Psychomotor Performance Humans
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Natural language processing to identify ureteric stones in radiology reports.

Journal of medical imaging and radiation oncology Feb 5, 2019
INTRODUCTION: Natural language processing (NLP) is an emerging tool which has the ability to automate data extraction from large volumes of unstructured text. One of the main described uses of NLP in radiology is cohort building for epidemiological s...
Humans Natural Language Processing Radiography, Abdominal Sensitivity and Specificity Retrospective Studies Cross-Sectional Studies Tomography, X-Ray Computed Ureteral Calculi Big Data
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Prediction of IDH1 Mutation Status in Glioblastoma Using Machine Learning Technique Based on Quantitative Radiomic Data.

World neurosurgery Feb 5, 2019
OBJECTIVE: Isocitrate dehydrogenase 1 (IDH1) mutation status is an independent favorable prognostic factor for glioblastoma (GBM) and is usually determined by sequencing or immunohistochemistry. An accurate prediction of IDH1 mutation status via noni...
Glioblastoma Isocitrate Dehydrogenase Adult Brain Neoplasms Male Middle Aged Glioma Magnetic Resonance Imaging Female Aged Aged, 80 and over Humans Algorithms Machine Learning Retrospective Studies
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Comparative assessment of CNN architectures for classification of breast FNAC images.

Tissue & cell Feb 5, 2019
Fine needle aspiration cytology (FNAC) entails using a narrow gauge (25-22 G) needle to collect a sample of a lesion for microscopic examination. It allows a minimally invasive, rapid diagnosis of tissue but does not preserve its histological archite...
Biopsy, Fine-Needle Breast Neoplasms Humans Deep Learning Female Image Interpretation, Computer-Assisted
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Attention gated networks: Learning to leverage salient regions in medical images.

Medical image analysis Feb 5, 2019
We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image whi...
Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Humans Female Datasets as Topic Neural Networks, Computer Radiography, Abdominal Ultrasonography, Prenatal Algorithms Tomography, X-Ray Computed Pregnancy
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Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.

Computers in biology and medicine Feb 5, 2019
Delineation of Computed Tomography (CT) abdominal anatomical structure, specifically spleen segmentation, is useful for not only measuring tissue volume and biomarkers but also for monitoring interventions. Recently, segmentation algorithms using dee...
Imaging, Three-Dimensional Spleen Tomography, X-Ray Computed Deep Learning Time Factors Humans Algorithms
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RAMS: Remote and automatic mammogram screening.

Computers in biology and medicine Feb 5, 2019
About one in eight women in the U.S. will develop invasive breast cancer at some point in life. Breast cancer is the most common cancer found in women and if it is identified at an early stage by the use of mammograms, x-ray images of the breast, the...
Algorithms Female Breast Neoplasms Mammography Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Breast Machine Learning Telemedicine
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Artificial Intelligence for the Otolaryngologist: A State of the Art Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 5, 2019
OBJECTIVE: To provide a state of the art review of artificial intelligence (AI), including its subfields of machine learning and natural language processing, as it applies to otolaryngology and to discuss current applications, future impact, and limi...
Humans Artificial Intelligence Otolaryngology
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Sprint Assessment Using Machine Learning and a Wearable Accelerometer.

Journal of applied biomechanics Feb 5, 2019
Field-based sprint performance assessments rely on metrics derived from a simple model of sprinting dynamics parameterized by 2 constants, v and τ, which indicate a sprinter's maximal theoretical velocity and the time it takes to approach v, respecti...
Young Adult Biomechanical Phenomena Male Humans Machine Learning Female Athletic Performance Linear Models Accelerometry Adolescent Wearable Electronic Devices Running
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Optimal adaptive control of drug dosing using integral reinforcement learning.

Mathematical biosciences Feb 5, 2019
In this paper, a reinforcement learning (RL)-based optimal adaptive control approach is proposed for the continuous infusion of a sedative drug to maintain a required level of sedation. To illustrate the proposed method, we use the common anesthetic ...
Humans Machine Learning Computer Simulation Drug Dosage Calculations Infusions, Parenteral Propofol Models, Biological Anesthetics, Intravenous
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