Geriatrics

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

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Showing 3445-3465 of 7,395 articles
Enhancing wisdom teeth detection in panoramic radiographs using multi-channel convolutional neural network with clinical knowledge.

This study presents a novel artificial intelligence approach for detecting wisdom teeth in panoramic...

Multimodal fusion architectures for Alzheimer's disease diagnosis: An experimental study.

OBJECTIVE: In the attempt of early diagnosis of Alzheimer's Disease, varying forms of medical record...

Enhancing osteoporosis risk prediction using machine learning: A holistic approach integrating biomarkers and clinical data.

Osteoporosis (OP) affects approximately 18 % of the global population, with osteoporosis-associated ...

Sharing patient technology preferences with care networks: Stakeholders' views of the "Let's Talk Tech" decision aid for dementia care.

BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss ...

EB-YOLO:An efficient and lightweight blood cell detector based on the YOLO algorithm.

Blood cell detection is an important part of medical diagnosis. Object detection is trending for blo...

GeneDX-PBMC: An adversarial autoencoder framework for unlocking Alzheimer's disease biomarkers using blood single-cell RNA sequencing data.

OBJECTIVE: To identify blood-based biomarkers and therapeutic targets for Alzheimer's disease (AD) b...

Metabolic Dysfunction-Associated Steatotic Liver Disease Is Associated With Accelerated Brain Ageing: A Population-Based Study.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to cognitive ...

Fully Hyperbolic Neural Networks: A Novel Approach to Studying Aging Trajectories.

Characterizing age-related alterations in brain networks is crucial for understanding aging trajecto...

Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction.

BACKGROUND: Magnetic resonance imaging (MRI), combined with artificial intelligence techniques, has ...

An end-to-end mass spectrometry data classification model with a unified architecture.

Mass spectrometry, known for its high sensitivity, selectivity, rich structural information, and rap...

Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework.

Accurate classification of midpalatal suture maturation stages is critical for orthodontic diagnosis...

A modified TOPSIS algorithm for the assessment of sports quality in higher education using circular pythagorean fuzzy information.

Higher education institutions experience difficulties in sports quality assessment because multiple ...

Predicting and preventing Alzheimer's disease.

With all the advances in both the science of aging and artificial intelligence (AI), we are in a pro...

Comparative Analysis of Feature Extraction Methods and Machine Learning Models for Predicting Osteoporosis Prevalence.

This study systematically examined the impact of three feature selection techniques (Boruta, Extreme...

Machine learning positioning algorithms for long semi-monolithic scintillator PET detectors.

In this work, machine learning positioning algorithms are developed to improve the spatial resolutio...

Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers.

As populations age, understanding cognitive decline and age-related diseases like dementia has becom...

Deep learning-based CAD system for Alzheimer's diagnosis using deep downsized KPLS.

Alzheimer's disease (AD) is the most prevalent type of dementia. It is linked with a gradual decline...

Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors.

Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognit...

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