Latest AI and machine learning research in geriatrics for healthcare professionals.
This review sought to critically evaluate the use of the teleoperated humanoid robotic communication...
Increasing evidence shows that hypothalamic dysfunction, insulin resistance, and weight loss precede...
INTRODUCTION: We examined whether German claims data are suitable for dementia risk prediction, how ...
Oral squamous cell carcinoma (OSCC) is prevalent around the world and is associated with poor progno...
Oil and gas reservoirs are of great significance for economic benefits. Faults act as important cond...
During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future ...
Using artificial intelligence and machine learning techniques in healthcare applications has been ac...
Text classification is widely studied by researchers in the natural language processing field. Howev...
Realizing robust six degrees of freedom (6DOF) state estimation and high-performance simultaneous lo...
BACKGROUND: Medical information has rapidly increased on the internet and has become one of the main...
For the past century, the nucleus has been the focus of extensive investigations in cell biology. Ho...
Machine learning (ML) algorithms play a vital role in the brain age estimation frameworks. The impac...
Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR)....
Hip fracture is the most common complication of osteoporosis, and its major contributor is compromis...
Accumulation of beta-amyloid in the brain and cognitive decline are considered hallmarks of Alzheime...
Research on segmentation of the hippocampus in magnetic resonance images through deep learning convo...
Multigraphs with heterogeneous views present one of the most challenging obstacles to classification...
Autonomous driving is of great interest to industry and academia alike. The use of machine learning ...
Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children....
Inference of disease-gene associations helps unravel the pathogenesis of diseases and contributes to...
BACKGROUND: Muscle quantification is an essential step in sarcopenia evaluation.