Latest AI and machine learning research in hematology for healthcare professionals.
: Venous thromboembolism (VTE) can be the first manifestation of an underlying cancer. This study ai...
BACKGROUND: Elevated vitamin B12 (B12) levels are linked to an increased risk of cancers, including ...
Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) has become standar...
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imagin...
PURPOSE: In laparoscopic inguinal hernia surgery, proper recognition of loose connective tissue, ner...
This study aimed to investigate the patterns of anticoagulation therapy and coagulation parameters a...
The increasing prevalence of obesity and metabolic disorders has created a significant demand for pe...
PURPOSE: Extranodal natural killer/T-cell lymphoma (ENKTCL) is an hematologic malignancy with progno...
PURPOSE: This study aimed to evaluate the impact of Robotic-Assisted Total Hip Arthroplasty (RATHA) ...
INTRODUCTION: Although single-stage bilateral total knee arthroplasty (BTKA) presents several advant...
BACKGROUND: Dual antiplatelet therapy (DAPT) after coronary artery bypass grafting (CABG), although ...
This study presents an innovative approach to cuffless blood pressure prediction by integrating spee...
OBJECTIVE: To develop and compare machine learning models based on CT morphology features, serum bio...
BACKGROUND: Evaluating risk factors for bleeding events in robot-assisted partial nephrectomy (RAPN)...
Despite the excellent advantages of biomicrorobots, such as autonomous navigation and targeting actu...
BACKGROUND: Physics-informed neural networks (PINNs) are increasingly being used to model cardiovasc...
INTRODUCTION: Although rituximab is approved for several autoimmune diseases, no formal dose finding...
PPG signals are a new means of non-invasive detection of blood glucose, but there are still shortcom...
AIM: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict ...
The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, ...
Therapeutic proteins, the fastest growing class of pharmaceuticals, are subject to rapid proteolytic...