AIMC Topic: Humans
Showing 66471 to 66480 of 95995 articles
Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks.
NeuroImage. Clinical
Dec 18, 2018
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. Convolutional n...
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Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.
Cancer medicine
Dec 18, 2018
BACKGROUND: For Glioblastoma (GBM), various prognostic nomograms have been proposed. This study aims to evaluate machine learning models to predict patients' overall survival (OS) and progression-free survival (PFS) on the basis of clinical, patholog...
SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples.
Sensors (Basel, Switzerland)
Dec 18, 2018
The work presented in this paper is focused on the use of spectroscopy to identify the type of tissue of human brain samples employing support vector machine classifiers. Two different spectrometers were used to acquire infrared spectroscopic signatu...
Food Volume Estimation Based on Deep Learning View Synthesis from a Single Depth Map.
Nutrients
Dec 18, 2018
An objective dietary assessment system can help users to understand their dietary behavior and enable targeted interventions to address underlying health problems. To accurately quantify dietary intake, measurement of the portion size or food volume ...
An IoT Based Predictive Modelling for Predicting Lung Cancer Using Fuzzy Cluster Based Segmentation and Classification.
Journal of medical systems
Dec 18, 2018
In this paper, we propose a new Internet of Things (IoT) based predictive modelling by using fuzzy cluster based augmentation and classification for predicting the lung cancer disease through continuous monitoring and also to improve the healthcare b...
Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children.
Neural plasticity
Dec 18, 2018
Transcranial direct-current stimulation (tDCS) enhances motor learning in adults. We have demonstrated that anodal tDCS and high-definition (HD) tDCS of the motor cortex can enhance motor skill acquisition in children, but behavioral mechanisms remai...
Updates in Urologic Robot Assisted Surgery.
F1000Research
Dec 18, 2018
Modern robotics is an advanced minimally invasive technology with the advantages of wristed capability, three-dimensional optics, and tremor filtration compared with conventional laparoscopy. Urologists have been early adopters of robotic surgical te...
Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks.
IEEE journal of biomedical and health informatics
Dec 17, 2018
Arterial oxygen saturation ([Formula: see text]) is an indicator of how much oxygen is carried by hemoglobin in the blood. Having enough oxygen is vital for the functioning of cells in the human body. Measurement of [Formula: see text] is typically e...
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.
IEEE journal of biomedical and health informatics
Dec 17, 2018
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG...
Assistive robots for socialization in elderly people: results pertaining to the needs of the users.
Aging clinical and experimental research
Dec 17, 2018
BACKGROUND/AIM: Technological solutions can support the elderly, improve their quality of life and reduce isolation and loneliness. The Euro-Japan ACCRA (Agile Co-Creation for Robots and Aging) project has the objective of building a reference co-cre...
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