Latest AI and machine learning research in hematology for healthcare professionals.
Severe fever with thrombocytopenia syndrome (SFTS) is a high-fatality viral disease where early mort...
BACKGROUND: Total joint arthroplasty (TJA) complications necessitate the development of accurate ris...
Sickle cell disease (SCD), a monogenic disorder arising from a single point mutation in the β-globin...
Overexpression of MERTK and FLT3 plays a crucial role in activating signal transduction pathways in ...
This study aimed to determine whether unsupervised machine learning can identify phenotypically dist...
BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpati...
Medical image processing has transformed the Complete Blood Count (CBC) analysis to enhance diagnost...
A Whole Slide Image (WSI) is a high-resolution digital image created by scanning an entire glass sli...
Current biocompatibility assessment paradigms inadequately predict hemoglobin-material interactions,...
BACKGROUND: Atrial fibrillation (AF) is a common and clinically heterogeneous arrhythmia. Machine le...
BACKGROUND: Intravascular lithotripsy (IVL) emerged for the treatment of coronary artery calcificati...
BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infa...
Identifying reliable circulating biomarkers is crucial for improving the diagnosis and risk stratifi...
ETHNOPHARMACOLOGICAL RELEVANCE: According to the Traditional Chinese Medicine (TCM) tenet that "inte...
OBJECTIVE: Accurate prediction of survival outcome is essential for early intervention and treatment...
PROBLEM: High-stakes licensing exams such as the USMLE play a critical role in medical education, in...
Sickle cell disease (SCD) is a severe hereditary blood disorder that affects millions worldwide, nec...
Although there is no framework for prediction models for postembolization fever, potential influenci...
Application of the results provided by medical laboratories plays an essential role in medical decis...
AIM: At-risk metabolic dysfunction-associated steatohepatitis (MASH), characterized by significant a...
BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are incre...