Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

7,392 articles
Stay Ahead - Weekly Geriatrics research updates
Subscribe
Browse Categories
Subcategories: Alzheimer's Disease Medicare
Showing 4096-4116 of 7,392 articles
Cancer Care Treatment Outcome Ontology: A Novel Computable Ontology for Profiling Treatment Outcomes in Patients With Solid Tumors.

PURPOSE: There is as yet no computer-processable resource to describe treatment end points in cancer...

Hercules: a profile HMM-based hybrid error correction algorithm for long reads.

Choosing whether to use second or third generation sequencing platforms can lead to trade-offs betwe...

Deep learning for healthcare: review, opportunities and challenges.

Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedica...

LncRNAnet: long non-coding RNA identification using deep learning.

MOTIVATION: Long non-coding RNAs (lncRNAs) are important regulatory elements in biological processes...

PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging.

Aging biomarkers are the qualitative and quantitative indicators of the aging processes of the human...

Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis.

AIMS: Diagnosing long QT syndrome (LQTS) is challenging due to a considerable overlap of the QTc-int...

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.

Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient care and d...

Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review.

Recovery of upper and lower limbs function is essential to reach independence in daily activities in...

[Big data and artificial intelligence for diagnostic decision support in atypical dementia].

The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomo...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

ENS-Unet: End-to-End Noise Suppression U-Net for Brain Tumor Segmentation.

Thanks to deep convolutional neural networks (CNNs), Brain Tumor Segmentation (BTS) has made great p...

Thermal Camera Based Physiological Monitoring with an Assistive Robot.

This paper presents a physiological monitoring system for assistive robots using a thermal camera. I...

Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging.

This paper presents an automated computational platform based on deep learning (DL) approach for lef...

Validation of Improvements of Robotic Devices for Nursing Care using a Sensing Dummy Simulating Human Body.

The population in advanced countries is rapidly aging, and these countries are faced with various is...

Co-Saliency-Enhanced Deep Recurrent Convolutional Networks for Human Fall Detection in E-Healthcare.

This paper addresses the issue of fall detection from videos for e-healthcare and assisted-living. I...

Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer.

Human activity recognition (HAR) is an important component in health-care systems. For example, it c...

Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease.

Alzheimer's disease (AD), a progressive brain disorder, is the most common neurodegenerative disease...

Detection of Early Stage Alzheimer's Disease using EEG Relative Power with Deep Neural Network.

Electroencephalogram (EEG) signal based early diagnosis of Alzheimer's Disease (AD), especially a di...

Classification of producer characteristics in primate long calls using neural networks.

Primate long calls are high-amplitude vocalizations that can be critical in maintaining intragroup c...

Modeling polypharmacy side effects with graph convolutional networks.

MOTIVATION: The use of drug combinations, termed polypharmacy, is common to treat patients with comp...

The New Possibilities from "Big Data" to Overlooked Associations Between Diabetes, Biochemical Parameters, Glucose Control, and Osteoporosis.

PURPOSE OF REVIEW: To review current practices and technologies within the scope of "Big Data" that ...

Browse Categories