Latest AI and machine learning research in geriatrics for healthcare professionals.
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of ...
Xerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderl...
BACKGROUND: The most common degenerative condition in older adults is dementia, which can be predict...
This study aimed to assess the performance of a deep learning algorithm in helping radiologist achie...
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristi...
The complex molecular mechanism and pathophysiology of Alzheimer's disease (AD) limits the developme...
Molecular Biology has long tried to discover mechanisms, considering that unless we understand the p...
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among ra...
Digital care technologies are becoming increasingly important in long-term care. They encompass all ...
Early and accurate diagnosis of focal liver lesions is crucial for effective treatment and prognosis...
Robot-assisted bilateral arm training has demonstrated its effectiveness in improving motor function...
INTRODUCTION: The steadily growing and aging world population, in conjunction with continuously incr...
Large language models (LLMS) emerge as the most promising Natural Language Processing approach for c...
INTRODUCTION: Coexisting multiple health conditions is common among older people, a population that ...
PURPOSE: The efficacy of adjuvant chemotherapy in elderly breast cancer patients is currently contro...
Predicting compound activity in assays is a long-standing challenge in drug discovery. Computational...
Alzheimer's disease (AD) is a heterogeneous age-dependent neurodegenerative disorder. Its hallmarks ...
Black-box deep learning (DL) models trained for the early detection of Alzheimer's Disease (AD) ofte...
BACKGROUND: Although some studies suggest that robot-assisted technology can significantly improve u...
BACKGROUND: Computerized posturography obtained in standing conditions has been applied to classify ...
INTRODUCTION: Gait disorders and gait-related cognitive tests were recently linked to future Alzheim...