AIMC Topic: Humans

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Robotics for Lower Limb Rehabilitation.

Physical medicine and rehabilitation clinics of North America Mar 11, 2019
Improving walking function is a desirable outcome in rehabilitation and of high importance for social and vocational reintegration for persons with neurologic-related gait impairment. Robots for lower limb gait rehabilitation are designed principally...
Neurological Rehabilitation Humans Lower Extremity Robotics Therapy, Computer-Assisted
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Gait Segmentation of Data Collected by Instrumented Shoes Using a Recurrent Neural Network Classifier.

Physical medicine and rehabilitation clinics of North America Mar 11, 2019
The authors present a Recurrent Neural Network classifier model that segments the walking data recorded with instrumented footwear. The signals from 3 piezoresistive sensors, a 3-axis accelerometer, and Euler angles are used to generate temporal gait...
Shoes Male Humans Young Adult Adolescent Child Neural Networks, Computer Equipment Design Adult Cerebral Palsy Robotics Female Gait Analysis
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Artificial intelligence-augmented ECG assessment: The promise and the challenge.

Journal of cardiovascular electrophysiology Mar 11, 2019
(1)
Electrocardiography Death, Sudden, Cardiac Humans Artificial Intelligence
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Applications of artificial intelligence to endoscopy practice: The view from Japan Digestive Disease Week 2018.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Mar 11, 2019
Japan Congresses as Topic Endoscopy, Digestive System Humans Artificial Intelligence
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Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach.

Chemical research in toxicology Mar 11, 2019
Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidney, and heart. However, the exact mechanism of intoxication is still unclear. In order to find out the initial toxic mechanism of PQ poisoning, a bloo...
Paraquat Adenosine Metabolomics Chromatography, High Pressure Liquid Machine Learning Humans Mass Spectrometry
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What does the mind learn? A comparison of human and machine learning representations.

Current opinion in neurobiology Mar 11, 2019
We present a brief review of modern machine learning techniques and their use in models of human mental representations, detailing three notable branches: spatial methods, logical methods and artificial neural networks. Each of these branches contain...
Language Cognition Neural Networks, Computer Machine Learning Humans
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Interpretable genotype-to-phenotype classifiers with performance guarantees.

Scientific reports Mar 11, 2019
Understanding the relationship between the genome of a cell and its phenotype is a central problem in precision medicine. Nonetheless, genotype-to-phenotype prediction comes with great challenges for machine learning algorithms that limit their use i...
Humans Artificial Intelligence Algorithms Genomics Genetic Association Studies Machine Learning Precision Medicine Genome Software
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Dual-energy CT for automatic organs-at-risk segmentation in brain-tumor patients using a multi-atlas and deep-learning approach.

Scientific reports Mar 11, 2019
In radiotherapy, computed tomography (CT) datasets are mostly used for radiation treatment planning to achieve a high-conformal tumor coverage while optimally sparing healthy tissue surrounding the tumor, referred to as organs-at-risk (OARs). Based o...
Organs at Risk Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neoplasms Deep Learning Humans Tomography, X-Ray Computed
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Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance.

Journal of medical Internet research Mar 11, 2019
BACKGROUND: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which may lead to severe morbidity or even death. Although secure messaging was designed for exchanging nonurgent messages, patients sometimes report hypoglyc...
Female Male Social Media Humans Electronic Health Records Natural Language Processing Hypoglycemia
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Myopic control of neural dynamics.

PLoS computational biology Mar 11, 2019
Manipulating the dynamics of neural systems through targeted stimulation is a frontier of research and clinical neuroscience; however, the control schemes considered for neural systems are mismatched for the unique needs of manipulating neural dynami...
Nonlinear Dynamics Nervous System Diseases Algorithms Decision Making Humans Neural Networks, Computer
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