AIMC Topic: Young Adult
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Haptic Feedback Perception and Learning With Cable-Driven Guidance in Exosuit Teleoperation of a Simulated Drone.
IEEE transactions on haptics
Jun 27, 2019
Robotics teleoperation enables human operators to control the movements of distally located robots. The development of new wearable interfaces as alternatives to hand-held controllers has created new modalities of control, which are more intuitive to...
Identification of a Multiplex Biomarker Panel for Hypertrophic Cardiomyopathy Using Quantitative Proteomics and Machine Learning.
Molecular & cellular proteomics : MCP
Jun 26, 2019
Hypertrophic cardiomyopathy (HCM) is defined by pathological left ventricular hypertrophy (LVH). It is the commonest inherited cardiac condition and a significant number of high risk cases still go undetected until a sudden cardiac death (SCD) event....
Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.
Radiology
Jun 25, 2019
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine learning to develop a model of vessel features to discriminate between patients with and without subs...
Coronary Artery Disease
Image Interpretation, Computer-Assisted
Coronary Vessels
Computed Tomography Angiography
Male
Middle Aged
Severity of Illness Index
Predictive Value of Tests
Coronary Angiography
Humans
Machine Learning
Female
Reproducibility of Results
Risk Factors
Aged
Aged, 80 and over
Young Adult
Adult
Accurate colorectal tumor segmentation for CT scans based on the label assignment generative adversarial network.
Medical physics
Jun 25, 2019
PURPOSE: Colorectal tumor segmentation is an important step in the analysis and diagnosis of colorectal cancer. This task is a time consuming one since it is often performed manually by radiologists. This paper presents an automatic postprocessing mo...
AMiCUS-A Head Motion-Based Interface for Control of an Assistive Robot.
Sensors (Basel, Switzerland)
Jun 25, 2019
Within this work we present AMiCUS, a Human-Robot Interface that enables tetraplegics to control a multi-degree of freedom robot arm in real-time using solely head motion, empowering them to perform simple manipulation tasks independently. The articl...
Anatomical context improves deep learning on the brain age estimation task.
Magnetic resonance imaging
Jun 24, 2019
Deep learning has shown remarkable improvements in the analysis of medical images without the need for engineered features. In this work, we hypothesize that deep learning is complementary to traditional feature estimation. We propose a network desig...
Exploring spatiotemporal neural dynamics of the human visual cortex.
Human brain mapping
Jun 23, 2019
The human visual cortex is organized in a hierarchical manner. Although previous evidence supporting this hypothesis has been accumulated, specific details regarding the spatiotemporal information flow remain open. Here we present detailed spatiotemp...
3D-CNN based discrimination of schizophrenia using resting-state fMRI.
Artificial intelligence in medicine
Jun 22, 2019
MOTIVATION: This study reports a framework to discriminate patients with schizophrenia and normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain. Resting-state functional MRI data from a total of 144 subjects (72 pat...
Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks.
European radiology
Jun 21, 2019
OBJECTIVES: The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. The aim of this work is to develop a methodology for automated constru...
Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.
Burns : journal of the International Society for Burn Injuries
Jun 21, 2019
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to ...
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