Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 568-588 of 7,183 articles
From text to insight: A natural language processing-based analysis of burst and research trends in HER2-low breast cancer patients.

With the intensification of population aging, the proportion of elderly breast cancer patients is co...

Identification of UBE2N as a biomarker of Alzheimer's disease by combining WGCNA with machine learning algorithms.

Alzheimer's disease (AD) is the most common cause of dementia, emphasizing the critical need for the...

Machine learning based on nutritional assessment to predict adverse events in older inpatients with possible sarcopenia.

BACKGROUND: The accuracy of current tools for predicting adverse events in older inpatients with pos...

Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults.

This study compares the efficacy of machine learning models to traditional biophysical models in pre...

Integrating NLP and LLMs to discover biomarkers and mechanisms in Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurological condition characterized by cognitive decline,...

Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI.

PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell c...

Enhanced in silico QSAR-based screening of butyrylcholinesterase inhibitors using multi-feature selection and machine learning.

Butyrylcholinesterase inhibition offers one of the formulated solutions to tackle the aggravating sy...

Transforming residential water end use analysis: unleashing insights from widespread low-resolution smart metering data.

Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into resid...

Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain.

Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A centra...

Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study.

BACKGROUND: Sarcopenia is a common complication in patients with stroke, adversely affecting recover...

Long-tailed medical diagnosis with relation-aware representation learning and iterative classifier calibration.

Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating th...

Towards realistic simulation of disease progression in the visual cortex with CNNs.

Convolutional neural networks (CNNs) and mammalian visual systems share architectural and informatio...

Characterizing Brain-Cardiovascular Aging Using Multiorgan Imaging and Machine Learning.

The structure and function of the brain and cardiovascular system change over the lifespan. In this ...

Accelerating veterinary low field MRI acquisitions using the deep learning based denoising solution HawkAI.

Magnetic resonance imaging (MRI) has changed veterinary diagnosis but its long-sequence time can be ...

Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem.

The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...

Dense convolution-based attention network for Alzheimer's disease classification.

Recently, deep learning-based medical image classification models have made substantial advancements...

Stacked CNN-based multichannel attention networks for Alzheimer disease detection.

Alzheimer's Disease (AD) is a progressive condition of a neurological brain disorder recognized by s...

Cultural variation in trust and acceptability of artificial intelligence diagnostics for dementia.

Digital health innovations hold diagnostic and therapeutic promise but may be subject to biases for ...

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