Latest AI and machine learning research in hematology for healthcare professionals.
BACKGROUND AND PURPOSE: Thrombus red blood cell (RBC) content has been shown to be a significant factor influencing the efficacy of acute ischemic stroke treatment. In this study, our objective was to evaluate the ability of convolutional neural networks (CNNs) to predict ischemic stroke thrombus RBC content using multiparametric MR images.
As the growing popularity of robotic-assisted laparoscopic procedures for the treatment of renal cancer increases, there exists a variation in surgical technique among institutions and surgeons alike. One variation that exists in robotics is the anatomical placement of the camera port (medial versus lateral camera port placement). The purpose of this study is to evaluate surgical complications and...
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conduc...
Artificial intelligence-based protein structure prediction approaches have had a transformative effect on biomolecular sciences. The predicted protein...
In recent years, the omnipresence of cardiac problems has been recognized as an epidemic. With the correct and quick diagnosis, both mortality and mor...
Treatment of blood smears with Wright's stain is one of the most helpful tools in detecting white blood cell abnormalities. However, to diagnose leuko...
This study aimed to investigate the accuracy and safety of mandibular osteotomy and distraction device positioning in distraction osteogenesis assiste...
Robot-assisted surgery has not yet been able to establish itself for vascular surgery. However, the preconditions for robot-assisted vascular interven...
In medicine, the count of different types of white blood cells can be used as the basis for diagnosing certain diseases or evaluating the treatment ef...
BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in the emergency department. The pathophysiological me...
Magnetic resonance imaging (MRI) provides images for estimating fetal volume and weight, but manual delineations are time consuming. The aims were to ...
Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the bone marrow hematopoietic cells with cytopenia. D...
Accurate retinal blood vessels segmentation is an important step in the clinical diagnosis of ophthalmic diseases. Many deep learning frameworks have ...
Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully understood. Here, we comprehensively analyze immu...
Intraoperative water testing is essential for assessing mitral valve morphology and degree of residual mitral regurgitation during mitral valve repair...
Deep learning has been used to classify the while blood cells in peripheral blood smears. However, the classification of developing neutrophils is rar...
We aimed to report a comprehensive outcome analysis of robot-assisted laparoscopic prostatectomies (RALP) performed by a single surgeon and compared i...
Hematology and bone marrow analysis is central to our understanding of the hematopoietic system and how it responds to insults, and this session prese...
BACKGROUND AND OBJECTIVES: Cytology is a proven, minimally-invasive cancer screening and surveillance strategy. Given the high incidence of oral cance...
Due to progression in cell-cycle or duration of storage, classification of morphological changes in human blood cells is important for correct and eff...