AIMC Topic: Young Adult
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Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data.
Sleep & breathing = Schlaf & Atmung
Jan 14, 2020
PURPOSE: To develop an automated framework for sleep stage scoring from PSG via a deep neural network.
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
Clinical cancer research : an official journal of the American Association for Cancer Research
Jan 14, 2020
PURPOSE: With increasing incidence of renal mass, it is important to make a pretreatment differentiation between benign renal mass and malignant tumor. We aimed to develop a deep learning model that distinguishes benign renal tumors from renal cell c...
Basketball Activity Classification Based on Upper Body Kinematics and Dynamic Time Warping.
International journal of sports medicine
Jan 14, 2020
Basketball activity classification can help document players' statistics, allow coaches, trainers and the medical team to quantitatively supervise players' physical exertion and optimize training strategy, and further help prevent potential injuries....
Validation of a Deep Learning System for the Full Automation of Bite and Meal Duration Analysis of Experimental Meal Videos.
Nutrients
Jan 13, 2020
Eating behavior can have an important effect on, and be correlated with, obesity and eating disorders. Eating behavior is usually estimated through self-reporting measures, despite their limitations in reliability, based on ease of collection and ana...
Haptic Teleoperation of UAVs Through Control Barrier Functions.
IEEE transactions on haptics
Jan 13, 2020
This article presents a novel approach to haptic teleoperation. Specifically, we use control barrier functions (CBFs) to generate force feedback to help human operators safely fly quadrotor UAVs. CBFs take a control signal as input and output a contr...
Object parsing in the left lateral occipitotemporal cortex: Whole shape, part shape, and graspability.
Neuropsychologia
Jan 11, 2020
Small and manipulable objects (tools) preferentially evoke a network of brain regions relative to other objects, including the lateral occipitotemporal cortex (LOTC), which is assumed to process tool shape information. Given the correlation between v...
EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface.
Journal of healthcare engineering
Jan 11, 2020
The assistive, adaptive, and rehabilitative applications of EEG-based robot control and navigation are undergoing a major transformation in dimension as well as scope. Under the background of artificial intelligence, medical and nonmedical robots hav...
Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals.
PloS one
Jan 10, 2020
Several European countries have established criteria for prioritising initiation of treatment in patients infected with the hepatitis C virus (HCV) by grouping patients according to clinical characteristics. Based on neural network techniques, our ob...
Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.
Journal of critical care
Jan 9, 2020
PURPOSE: Identification of patients for epidemiologic research through administrative coding has important limitations. We investigated the feasibility of a search based on natural language processing (NLP) on the text sections of electronic health r...
Middle Aged
Incidence
Shock, Septic
Predictive Value of Tests
Natural Language Processing
Hospitalization
Databases, Factual
Young Adult
Humans
Epidemiologic Studies
Prospective Studies
Adult
Software
Pattern Recognition, Automated
Sensitivity and Specificity
Intensive Care Units
False Positive Reactions
Electronic Health Records
International Classification of Diseases
Female
Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images.
Communications biology
Jan 8, 2020
Retinal detachment can lead to severe visual loss if not treated timely. The early diagnosis of retinal detachment can improve the rate of successful reattachment and the visual results, especially before macular involvement. Manual retinal detachmen...
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