Latest AI and machine learning research in hematology for healthcare professionals.
PURPOSE: Regional cerebral blood flow (rCBF) quantification using 123I-N-isopropyl-p-iodoamphetamine...
Post-induction hypotension is common and associated with postoperative complications. We hypothesise...
Identifying hit compounds is an important step in drug development. Unfortunately, this process cont...
Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...
OBJECTIVE: The blood flow in lymph nodes reflects important pathological features. However, most int...
Digital pathology has a crucial role in diagnostic pathology and is increasingly a technological req...
While optical microscopy inspection of blood films and bone marrow aspirates by a hematologist is a ...
INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This tes...
OBJECTIVES: VEXAS syndrome is a newly described autoinflammatory disease associated with somatic mu...
INTRODUCTION: Ischemic gastropathy is one of the unique postoperative complications associated with ...
BACKGROUND: Blood donation forecasting is a critical part of blood supply chain management. However,...
Although medical research has been performed predominantly on men both in preclinical and clinical s...
OBJECTIVE: For the patients who are suffering from type 2 diabetes, blood glucose level could be aff...
Robot-assisted rehabilitation training is an effective way to assist rehabilitation therapy. So far,...
Machine Learning is a powerful tool to discover hidden information and relationships in various data...
The objective is to evaluate and apply the robot-assisted endoscopic surgical technique for treatmen...
The fraction of red blood cells adopting a specific motion under low shear flow is a promising inexp...
A morphologic examination is essential for the diagnosis of hematological diseases. However, its con...
Accurate segregation of retinal blood vessels network plays a crucial role in clinical assessments, ...
Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...
Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life scien...