Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass.

The need for the estimation of the number of microbubbles (MBs) in cardiopulmonary bypass surgery ha...

Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous c...

Quantitative analysis of blood cells from microscopic images using convolutional neural network.

Blood cell count provides relevant clinical information about different kinds of disorders. Any devi...

Comparison of Robot-Assisted and Laparoscopic Partial Nephrectomy for Renal Hilar Tumors: Results from a Tertiary Referral Center.

To compare perioperative, functional, and oncologic outcomes between robot-assisted partial nephrec...

Validation of the Khorana Score for Prediction of Venous Thromboembolism After Robot-Assisted Radical Cystectomy.

The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...

Myelofibrosis and Pancytopenia Associated With Primary Hyperparathyroidism.

OBJECTIVE: Primary hyperparathyroidism (PHPT) has varied clinical presentations. Hematologic abnorma...

The machine learning algorithm for the diagnosis of schizophrenia on the basis of gene expression in peripheral blood.

BACKGROUND: Schizophrenia (SCZ) is a highly heritable mental disorder with a substantial disease bur...

Machine Learning Applications in the Diagnosis of Benign and Malignant Hematological Diseases.

The use of machine learning (ML) and deep learning (DL) methods in hematology includes diagnostic, p...

Off-Clamp Robot-Assisted Partial Nephrectomy: Is There Something More to Achieve Optimal Trifecta Outcomes?

To report trifecta outcomes of our "off-clamp" partial nephrectomy (PN) patients operated without m...

Outcomes of surgical and/or medical treatment in patients with prolactinomas during long-term follow-up: a retrospective single-centre study.

OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines r...

Low-soluble TREM-like transcript-1 levels early after severe burn reflect increased coagulation disorders and predict 30-day mortality.

BACKGROUND: Patients with severe burns often show systemic coagulation changes in the early stage an...

Towards Deep Neural Network Models for the Prediction of the Blood-Brain Barrier Permeability for Diverse Organic Compounds.

Permeation through the blood-brain barrier (BBB) is among the most important processes controlling t...

Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization.

White blood cells (WBCs) are essential components of the immune system in the human body. Various in...

Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning.

In aneurysmal subarachnoid hemorrhage (aSAH), accurate diagnosis of aneurysm is essential for subseq...

Hip Fracture Surgery without Transfusion in Patients with Hemoglobin Less Than 10 g/dL.

BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient out...

An Intelligent Model for the Detection of White Blood Cells using Artificial Intelligence.

BACKGROUND AND OBJECTIVE: The automatic detection and counting of white blood cells (WBCs) play a vi...

IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.

For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine...

Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER.

AIMS: Coagulation abnormality is one of the primary concerns for patients with spontaneous intracere...

Improvement in vitamin B status of Wistar rats by supplementing the diet with biomass.

The sources of bioavailable vitamin B are limited, and most of them are animal-derived. a freshwate...

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