Latest AI and machine learning research in hematology for healthcare professionals.
BACKGROUND: Cardiovascular disease (CVD) pathogenesis is strongly associated with environmental expo...
BACKGROUND: Early detection of plasma cell disorders (PCDs) remains challenging due to limited acces...
Preoperative risk stratification for radical prostatectomy is crucial, yet predicting the wide range...
The aim of this study was to assess the possibility of deep learning-based object detection models f...
Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abb...
Artificial intelligence (AI) tools are entering veterinary diagnostic laboratory service, but report...
Response assessment of primary kidney tumors in the consolidation cytoreductive and neoadjuvant sett...
BACKGROUND: Coronary artery disease (CAD) is the leading cause of death globally and a major contrib...
OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH...
BACKGROUND AND PURPOSE: Small intracerebral hemorrhage (ICH), defined as baseline NCCT hematoma volu...
BACKGROUND: Programmed death-ligand 1 (PD-L1) expression and CD8-positive (CD8+) T-cell infiltration...
This study evaluates the reliability and participants' responses to a contactless artificial intelli...
Hematopoietic stem cells (HSCs) constitute an organized hematopoietic system that undergoes age-rela...
The laminar nature of blood flow and the resulting boundary layer pose substantial challenges for tr...
Thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening hematologic emergency that lea...
Oxidative stress is a pathological driver of cardiovascular-kidney-metabolic (CKM) syndrome, exacerb...
OBJECTIVES: To establish practical, clinically meaningful criteria for identifying significant plate...
Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies ai...
BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following s...
OBJECTIVES: To construct a machine learning-based predictive model for fatty liver in patients with ...
Cardiovascular thromboses bring heavy global health burdens, while traditional screening of food-der...