Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 631-651 of 7,183 articles
Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

BACKGROUND: Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and de...

End-To-End Deep Learning Explains Antimicrobial Resistance in Peak-Picking-Free MALDI-MS Data.

Mass spectrometry is used to determine infectious microbial species in thousands of clinical laborat...

Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression.

The diagnosis of Alzheimer's disease (AD) based on visual features-informed by clinical knowledge ha...

HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer's disease.

BACKGROUND: The traditional process of developing new drugs is time-consuming and often unsuccessful...

Identification of therapeutic targets for Alzheimer's Disease Treatment using bioinformatics and machine learning.

Alzheimer's disease (AD) is a complex neurodegenerative disorder that currently lacks effective trea...

Self-supervised parametric map estimation for multiplexed PET with a deep image prior.

Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiolog...

Predicting conversion in cognitively normal and mild cognitive impairment individuals with machine learning: Is the CSF status still relevant?

INTRODUCTION: Machine learning (ML) helps diagnose the mild cognitive impairment-Alzheimer's disease...

Elucidating the role of FBXW4 in osteoporosis: integrating bioinformatics and machine learning for advanced insight.

BACKGROUND: Osteoporosis (OP), often termed the "silent epidemic," poses a substantial public health...

Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review.

BACKGROUND: This review explores the potential of virtual reality (VR) and artificial intelligence (...

Alzheimer's disease: an integrative bioinformatics and machine learning analysis reveals glutamine metabolism-associated gene biomarkers.

BACKGROUND: Alzheimer's disease (AD), a hallmark of age-related cognitive decline, is defined by its...

Deep one-class probability learning for end-to-end image classification.

One-class learning has many application potentials in novelty, anomaly, and outlier detection system...

Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides a...

Deep Learning of CYP450 Binding of Small Molecules by Quantum Information.

Drug-drug interaction can lead to diminished therapeutic effects or increased toxicity, posing signi...

Natural language processing-based classification of early Alzheimer's disease from connected speech.

INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) eme...

An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers: An application to ADNI Data.

INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pat...

Evaluating AI performance in nephrology triage and subspecialty referrals.

Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in th...

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario.

BACKGROUND: Malaria is a critical and potentially fatal disease caused by the Plasmodium parasite an...

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