Latest AI and machine learning research in hematology for healthcare professionals.
Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD i...
OBJECTIVES: Early diagnosis of suspected sepsis is crucial to improve patient survival. Cell populat...
OBJECTIVE: Failure to rescue (FTR) is a significant quality indicator for postoperative cardiothorac...
PURPOSE: To evaluate the predictive performance of a clinical-CT-radiomics nomogram based on radiomi...
INTRODUCTION: Bleeding is a serious complication in cardiac surgery, especially among patients recei...
There is considerable evidence implicating maternal immune activation (MIA) and cytokine dysregulati...
BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objec...
BACKGROUND: Sepsis in immunosuppressed patients is associated with significantly higher mortality ra...
BACKGROUND AND OBJECTIVES: We developed an automated morphological image recognition deep learning s...
INTRODUCTION: Artificial intelligence tools show promise in supplementing traditional physician assi...
CONTEXT: Early detection of acute leukemia (AL) is crucial for timely intervention and improved outc...
OBJECTIVES: The study aimed to investigate the classification performance of artificial intelligence...
BACKGROUND: Machine learning (ML) techniques are increasingly being used in health outcome research ...
B-cell acute lymphoblastic leukemia (B-ALL) is an aggressive hematological malignancy that primarily...
Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, desp...
Renal chronicity indices (CI) have been identified as strong predictors of long-term outcomes in lup...
Hematopathology workflows are complex, since they include numerous data points necessary for guiding...
BACKGROUND: The incidence of total shoulder arthroplasty (TSA) has risen significantly, driven by ex...
BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe mucocutan...
This study presents a novel approach using graph neural networks to predict the risk of internal ble...
Digital pathology (DP) has evolved alongside other technical advances, transforming our daily lives ...