Latest AI and machine learning research in geriatrics for healthcare professionals.
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and ...
The present study aimed to investigate the trends and research status of global nursing robot resea...
RATIONALE AND OBJECTIVES: Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, ye...
Chronic kidney disease-mineral bone disorder is a common complication in patients with chronic kidne...
BACKGROUND: The quest for eternal youth has been a common theme in many cultures for centuries. Whil...
BACKGROUND: Frailty is defined as a clinical state of increased vulnerability due to the age-associa...
Long QT syndrome (LQTS) presents a group of inheritable channelopathies with prolonged ventricular r...
Several researchers have investigated the consequences of using ChatGPT in the education industry. T...
BACKGROUND: Delirium in intensive care unit (ICU) patients poses a significant challenge, affecting ...
Workplace violence, defined as any disruptive behavior or threat to employees, seriously threatens ...
Recent associations between Major Depressive Disorder (MDD) and measures of premature aging suggest ...
OBJECTIVE: Identification of clinically meaningful subphenotypes of disease progression can enhance ...
Brain age gap, the difference between estimated brain age and chronological age via magnetic resonan...
BACKGROUND: Sarcopenia is associated with decreased survival in cervical cancer patients treated wit...
BACKGROUND: While the Cardiometabolic Index (CMI) serves as a novel marker for assessing adipose tis...
AIMS: Effective intervention for mild cognitive impairment (MCI) is key for preventing dementia. As ...
The aim of this study was to establish the optimal prediction model by comparing the prediction effe...
BACKGROUND: Alzheimer disease and related dementias (ADRD) exhibit prominent heterogeneity. Identify...
Gait abnormality detection is a growing application in machine learning based health assessment due ...
In recent years, machine learning-based handwriting analysis has emerged as a valuable tool for supp...
This paper introduces a novel convolutional neural network model with an attention mechanism to adva...