Latest AI and machine learning research in prevention for healthcare professionals.
Heart failure after acute myocardial infarction (post-MI HF) has become a major global health problem. Accurate risk prediction is essential for optimising management and preventing post-MI HF. However, existing models rely mainly on resting-state clinical examinations and inadequately reflect the complex pathophysiology of post-MI HF. We aimed to develop and validate a multimodal machine learning...
Scientific exercise monitoring is significant for injury risk prevention and training outcome promotion. Wearable biosensing technologies have emerged as transformative tools for real-time, in-situ physiological state profiling through dynamic biomarker detection during exercise activities. However, current studies remain suboptimal for practical exercise management due to inherent constraints inc...
Sleep supports cardiovascular, metabolic, neurologic, and psychological health. Beyond duration, circadian alignment is crucial because regular sleep,...
BACKGROUND: Elderly patients are highly susceptible to drug-drug interaction (DDI)-induced liver injury, yet comprehensive real-world evidence remains...
BACKGROUND: Depression poses a severe public health challenge for older adults, especially in rural China. In rural settings, the heavy burden of chro...
This article argues that despite the remarkable advances of artificial intelligence (AI) in medicine -including demonstrated capabilities in image rec...
Although there is variation in clinicians' application of the Rigo classification system (RCS) to adolescent idiopathic scoliosis, no artificial intel...
Cardiovascular disease involves complex molecular, cellular, and physiological derangements that present challenges for traditional diagnostic and the...
AIM: To present a five-criterion calibration framework for evaluating artificial intelligence (AI) tools in pathology centered on preserving "brain ca...
Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluate...
BACKGROUND: Heart failure (HF) is a clinical syndrome characterized by impaired cardiac diastolic and systolic function due to structural or functiona...
BACKGROUND: Chronic non-specific neck pain (CNP) involves central sensitization and maladaptive cortical reorganization. The central neurophysiologica...
OBJECTIVE: To validate the reliability and feasibility of AI-automated grid placement for bone marrow lesion (BML) scoring in the Knee Inflammation MR...
BACKGROUND: Artificial Intelligence (AI) is transforming personalized medicine, yet its efficacy constitutes a dynamic factor in the field of health a...
BACKGROUND: Low peak oxygen consumption (V̇O2) is associated with higher cardiovascular and all-cause mortality, while improvements in peak V̇O2 reduc...
Inpatient hypoglycemia is associated with increased morbidity, mortality, length of stay, and healthcare costs, yet current management remains reactiv...
BACKGROUND: Adolescents' health-related quality of life (HRQoL) is influenced by multiple domains, including school, family, and individual lifestyle....
Pharmacogenomics (PGx) is transforming how we treat cardiovascular disease (CVD) by enabling us to select and dose drugs based on our genetic profiles...
BACKGROUND: Myofascial pain syndrome (MPS) is considered highly prevalent in horses, yet it is frequently underdiagnosed due to limited understanding ...
Despite achieving substantial progress in caloric food security, micronutrient deficiencies remain a major global health challenge, highlighting a per...