Latest AI and machine learning research in geriatrics for healthcare professionals.
UNLABELLED: This study utilized deep learning for bone mineral density (BMD) prediction and classifi...
We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound usin...
OBJECTIVE: The objective of this study was to develop and validate a clinically applicable nomogram ...
Cognitive Radio (CR) technology enables wireless devices to learn about their surrounding spectrum e...
INTRODUCTION: Accurate measurement of dietary intake without interfering in natural eating habits is...
BACKGROUND: Alzheimer's disease (AD) is a common neurodegenerative disorder worldwide and the using ...
Osteoporotic femoral neck fractures (OFNFs) pose a significant orthopedic challenge in the elderly p...
BACKGROUND: Alzheimer's disease (AD), the most prevalent form of dementia, remains enigmatic in its ...
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder. There are no drugs and methods...
BACKGROUND AND AIM: Changes in cognitive function are commonly associated with aging in patients wit...
Microplastics (MPs) easily migrate into deeper soil layers, posing potential risks to subterranean h...
AIM: Pre-injury frailty has been investigated as a tool to predict outcomes of older trauma patients...
OBJECTIVE: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysi...
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe ...
Time-to-event data are very common in medical applications. Regression models have been developed on...
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. ...
Accurate prediction of brain age is crucial for identifying deviations between typical individual br...
BACKGROUND: The aim of this study was to examine the potential added value of including neuropsychia...
COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries, affecting mil...
OBJECTIVE: To establish morphological and radiomic models for early prediction of cognitive impairme...
Chronic kidney disease (CKD) significantly increases the risk of CVD diseases, particularly among el...