Geriatrics

An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging.

Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Detailed studies of the microglial response after TBI require high throughput quantification of changes in microglial count and morphology in histological sections throughout the brain. In this paper, we present a fully automated end-to-end system that is capable of assessing microglial activation in white...

An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures.

BACKGROUND: The development of diagnostic and prognostic tools for Alzheimer disease is complicated by substantial clinical heterogeneity in prodromal stages. Many neuroimaging studies have focused on case–control classification and predicting conversion from mild cognitive impairment to Alzheimer disease, but predicting scores from clinical assessments (such as the Alzheimer’s Disease Assessment ...

Artificial intelligence, osteoporosis and fragility fractures.

PURPOSE OF REVIEW: Artificial intelligence tools have found new applications in medical diagnosis. These tools have the potential to capture underlyin...

Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.

BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes...

[Artificial Intelligence for Diagnostic Support of Neuroimage].

Artificial intelligence (AI) shows promises in terms of diagnostic support on neuroimaging. We developed a software that predicts Alzheimer's disease ...

Design and validation of two embodied mirroring setups for interactive games with autistic children using the NAO humanoid robot.

Socially assistive robots have shown potential benefits in therapy of child and elderly patients with social and cognitive deficits. In particular, fo...

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.

Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epochs, plays an important role in sleep monitoring and...

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.

Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease followed by exocrine gland dysfunction, where it has been long stated that 5% of pSS ...

Bed-Exit Prediction Applying Neural Network Combining Bed Position Detection and Patient Posture Estimation.

The work of a nurse involves tasks that can lead to serious accidents with a single mistake or miss, and thus nurses are exposed to high stress. In pa...

Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.

Automated and objective monitoring of eating behavior has received the attention of both the research community and the industry over the past few yea...

Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.

Early prediction of diseased brain conditions is critical for curing illness and preventing irreversible neuronal dysfunction and loss. Generically re...

Fall Detection for the Elderly Based on 3-Axis Accelerometer and Depth Sensor Fusion with Random Forest Classifier.

In this paper, we propose a new fall detection method that combines 3-axis accelerometer and depth sensors. By combining vision and acceleration-deriv...

Classification of Rehabilitation Participation in Elderly In-patients with Mild Cognitive Impairments Utilizing Physiological Responses.

This study investigated the possibility of utilising physiological responses and machine learning techniques to determine the degree of participation ...

Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach.

Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's health, especially in the elderly. In the traditiona...

Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space.

Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body ...

Semi-Autonomous Tongue Control of an Assistive Robotic Arm for Individuals with Quadriplegia.

Individuals suffering from quadriplegia can achieve increased independence by using an assistive robotic manipulator (ARM). However, due to their disa...

Pre-Impact Fall Detection Using 3D Convolutional Neural Network.

Early fall detection is an important issue during gait rehabilitation training. This paper proposes an approach for pre-impact fall detection during g...

Transfer learning on T1-weighted images for brain age estimation.

Due to both the hidden nature and the irreversibility of Alzheimers disease (AD), it has become the killer of the elderly and is thus the focus of muc...

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Alzheimer's disease (AD) is characterized by gradual neurodegeneration and loss of brain function, especially for memory during early stages. Regressi...

The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease.

A crucial quest in neuroimaging is the discovery of image features (biomarkers) associated with neurodegenerative disorders. Recent works show that su...