Geriatrics

A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study.

Dementia and mild cognitive impairment (MCI) represent significant health challenges in an aging pop...

Retracted: X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

[This retracts the article DOI: 10.1155/2021/2562575.].

Classifying Alzheimer's disease and normal subjects using machine learning techniques and genetic-environmental features.

BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factor...

An accurate aging clock developed from large-scale gut microbiome and human gene expression data.

Accurate measurement of the biological markers of the aging process could provide an "aging clock" m...

A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer's Disease using MRI Images.

Recently, the early diagnosis of Alzheimer's disease has gained major attention due to the growing p...

Leveraging AI to identify dual-purpose aging and disease targets.

Curricula for teaching end-users to kinesthetically program collaborative robots.

Non-expert users can now program robots using various end-user robot programming methods, which have...

A multimodal screening system for elderly neurological diseases based on deep learning.

In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We pr...

eXplainable Artificial Intelligence (XAI) in aging clock models.

XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of complex...

How is Big Data reshaping preclinical aging research?

The exponential scientific and technological progress during the past 30 years has favored the compr...

Editorial: Network science approaches to risk assessment of mental disorders and dementia.

Editorial: Technologies to support elderly patients with dementia.

The leading global health challenges in the artificial intelligence era.

Millions of people's health is at risk because of several factors and multiple overlapping crises, a...

Novel inhibitory effect of black chokeberry () from selected eight berries extracts on advanced glycation end-products formation and corresponding mechanism study.

Numerous health hazards have been connected to advanced glycation end products (AGEs). In this inves...

Factors affecting the willingness of nursing care staffs for cooperation with heart failure care and the role of internet video education.

BACKGROUND: With the aging of heart failure (HF) patients, collaboration between medical and nursing...

Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture.

BACKGROUND: Dementia is a cognitive decline that leads to the progressive deterioration of an indivi...

A comprehensive comparative assessment of eight risk stratification systems for thyroid nodules in the elderly population.

OBJECTIVE: This study aims to investigate the diagnostic value of eight risk stratification systems ...

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensi...

Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector.

The aim of this research is to investigate the factors that facilitate the adoption of artificial i...

Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.

Atypical femur fractures (AFF) represent a very rare type of fracture that can be difficult to discr...

Artificial intelligence in medical science: a review.

Artificial intelligence (AI) is a technique to make intelligent machines, mainly by using smart comp...