Latest AI and machine learning research in hematology for healthcare professionals.
OBJECTIVE: This work investigates the possibility of automated malaria parasite detection in thick b...
Machine learning (ML) is a type of artificial intelligence (AI) based on pattern recognition. There ...
Detection of dysmorphic cells in peripheral blood (PB) smears is essential in diagnostic screening o...
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challe...
RATIONALE & OBJECTIVE: The accuracy of glycated hemoglobin (HbA) level for assessment of glycemic co...
Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and ...
PURPOSEÂ : The purpose of this paper is to present a fully automated abdominal artery segmentation me...
The aim of this study was to evaluate, if and with what accuracy perioperative blood loss can be cal...
One of the significant issues in global healthcare systems is improving the supply chain performance...
RATIONALE & OBJECTIVE: Sustainable interventions that enhance chronic kidney disease (CKD) managemen...
OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during con...
PURPOSE: Periodontal ligament stem cells (PDLSCs) have considerable potential for use as a means of ...
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative ...
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the ...
Thawed fresh frozen plasma (FFP) if not used within 6Â h, may have to be discarded due to the risk of...
Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast...
In this paper, a continuous non-occluding blood pressure (BP) prediction method is proposed using mu...
BACKGROUND AND OBJECTIVES: Morphological analysis is the starting point for the diagnostic approach ...
BACKGROUND: Hyperglycemia or high blood glucose during surgery is associated with poor postoperative...
Retinal oximetry is a non-invasive technique to investigate the hemodynamics, vasculature and health...
The classifier of support vector machine (SVM) learning for assessing the quality of arteriovenous f...