Latest AI and machine learning research in geriatrics for healthcare professionals.
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) ...
BACKGROUND: Research in embodied artificial intelligence (AI) has increasing clinical relevance for ...
A variety of machine learning methods such as naive Bayesian, support vector machines and more recen...
Predicting protein structure from sequence is a central challenge of biochemistry. Co-evolution meth...
(OC)-a traditional Chinese medicine (TCM)-has been reported to have large numbers of flavonoids, al...
BACKGROUND: Interconnections between major cardiovascular events (MCVEs) and renal events are recogn...
OBJECTIVES: The overall aim of the present study was to explore the role of cognitive reserve (CR) i...
PURPOSE: Osteoporosis is an underdiagnosed condition despite effective screening modalities. Dual-en...
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer d...
The interpretation of pulmonary function tests (PFTs) to diagnose respiratory diseases is built on e...
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morp...
Human activity recognition has been widely used in healthcare applications such as elderly monitorin...
Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,...
BACKGROUND: Osteoporosis has become an important public health issue. Most of the population, partic...
Falls are a prevalent problem in actual society. Some falls result in injuries and the cost associat...
BACKGROUND: In a clinical setting, an individual subject classification model rather than a group an...
It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD)....
The psoas-major muscle has been reported as a predictive factor of sarcopenia. The cross-sectional a...
The purpose of this research was to implement a deep learning network to overcome two of the major b...
Automated cell detection and localization from microscopy images are significant tasks in biomedical...
Adequate medical images are often indispensable in contemporary deep learning-based medical imaging ...