Latest AI and machine learning research in anemia for healthcare professionals.
INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions, due to dizziness and imbalance. Conventional balance rehabilitation programmes, though effective, face challenges in adherence and accessibility. The TeleRehabilitation Decision Support System (TeleRehaB DSS) uses artificial intelligence (AI) and mo...
BackgroundThe surgical workforce in the United States is aging while artificial intelligence (AI) tools are increasingly integrated into clinical practice. These developments raise questions about cognitive aging, professional longevity, and patient safety within the cognitive domains of surgical performance. This review situates these issues within the broader context of surgeon competency, cogni...
INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may play a role in Long COVID development. We investig...
As generative artificial intelligence (AI), particularly large language model-based tools, is increasingly integrated into diagnosis, triage, decision...
INTRODUCTION: Evidence from head-to-head comparisons of biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) on patient-repo...
INTRODUCTION: OSAS is a common yet underdiagnosed condition, particularly among patients with head and neck cancers (HNC). Anatomical changes caused b...
This paper presents a labeled multitemporal dataset designed to support supervised despeckling approaches for Sentinel-1 synthetic aperture radar (SAR...
Scientific exercise monitoring is significant for injury risk prevention and training outcome promotion. Wearable biosensing technologies have emerged...
BACKGROUND: Allergic rhinitis (AR) is a common Th2-mediated inflammatory disease of the nasal mucosa, in which eosinophils serve as pivotal effector c...
This systematic review examined the use of surface electromyography (sEMG) for the neuromuscular assessment of individuals with Amyotrophic Lateral Sc...
BACKGROUND: Artificial intelligence models for acute kidney injury (AKI) prediction achieve strong discriminative accuracy, yet clinical adoption rema...
Anemia's high global prevalence and socio-economic burden necessitate early diagnosis, yet reliance on invasive blood testing creates significant barr...
Vitamin B12 is essential for neural function, red blood cell formation, and DNA synthesis, yet its deficiency persists as a global health burden drivi...
MXenes, a rapidly expanding family of two-dimensional transition-metal carbides and nitrides, have emerged as a key material of self-powered wearable ...
PURPOSE: The aim of the study is to develop an interpretable machine learning model that can effectively identify patients at risk of high fatigue-pai...
Wearable biosensing technologies are advancing sports performance monitoring by enabling the continuous and real-time measurement of physiological and...
This study examines the mechanical and flexural fatigue behaviour of concrete with reclaimed asphalt pavement (RAP) aggregates with and without steel ...
Cognitive decline with age and other clinical conditions are linked with reduced hypothalamic-pituitary-adrenal (HPA) axis function. Stimulating the H...
BACKGROUND: β-thalassemia poses a considerable public health burden in Bangladesh, where a high carrier frequency underlies widespread disease risk. I...
BACKGROUND: Pedicle screws are pivotal in spinal fixation procedures, providing stability and facilitating the correction of spinal deformities. Sever...