Latest AI and machine learning research in geriatrics for healthcare professionals.
AIMS: Although frailty assessment is recommended for guiding treatment strategies and outcome prediction in elderly patients with heart failure (HF), most frailty scales are subjective, and the scores vary among raters. We sought to develop a machine learning-based automatic rating method/system/model of the clinical frailty scale (CFS) for patients with HF.
The ability to quantify aging-related changes in histological samples is important, as it allows for evaluation of interventions intended to effect health span. We used a machine learning architecture that can be trained to detect and quantify these changes in the mouse kidney. Using additional held out data, we show validation of our model, correlation with scores given by pathologists using the ...
The clinical applications of brain age prediction have expanded, particularly in anticipating the onset and prognosis of various neurodegenerative dis...
Salient object detection has emerged as a burgeoning area of interest within the realm of computer vision. However, prevailing algorithms exhibit dimi...
Large omics datasets are becoming increasingly available for research into human health. This paper presents DeepOmicsAE, a workflow optimized for the...
We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for...
BACKGROUND: Falls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a ...
Our study aims to address the challenges in drug development for glioblastoma, a highly aggressive brain cancer with poor prognosis. We propose a comp...
BACKGROUND: Dementia, with Alzheimer's disease (AD) being the most common type of this neurodegenerative disease, is an under-diagnosed health problem...
Spider angiomas are dilated vascular channels in the skin. They have a central arteriole with surrounding vascular channels resembling legs of a spide...
Dementia and mild cognitive impairment (MCI) represent significant health challenges in an aging population. As the search for noninvasive, precise an...
[This retracts the article DOI: 10.1155/2021/2562575.].
BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factors. The accuracy of artificial neural networks (ANN...
Accurate measurement of the biological markers of the aging process could provide an "aging clock" measuring predicted longevity and enable the quanti...
Recently, the early diagnosis of Alzheimer's disease has gained major attention due to the growing prevalence of the disease and the resulting costs i...
Non-expert users can now program robots using various end-user robot programming methods, which have widened the use of robots and lowered barriers pr...
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of complex models. XAI is especially required in sensitive a...
The exponential scientific and technological progress during the past 30 years has favored the comprehensive characterization of aging processes with ...
Millions of people's health is at risk because of several factors and multiple overlapping crises, all of which hit the vulnerable the most. These cha...