Hematology

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

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Screening and validating genes associated with cuproptosis in systemic lupus erythematosus by expression profiling combined with machine learning.

Cell death has long been a focal point in life sciences research, and recently, scientists have disc...

UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation.

Automated segmentation of retinal blood vessels in fundus images plays a key role in providing ophth...

Artificial intelligence chatbots in transfusion medicine: A cross-sectional study.

BACKGROUND AND OBJECTIVES: The recent rise of artificial intelligence (AI) chatbots has attracted ma...

Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.

Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood...

Morphological alterations of the thymus gland in individuals with schizophrenia.

Despite its critical function in the immune system and accumulating evidence of immunological abnorm...

Development of a microRNA-Based age estimation model using whole-blood microRNA expression profiling.

Age estimation is a critical aspect of human identification. Traditional methods, reliant on morphol...

Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.

BACKGROUND:  Myocardial blood flow (MBF) provides important diagnostic information for myocardial is...

Predicting 30-day mortality in hemophagocytic lymphohistiocytosis: clinical features, biochemical parameters, and machine learning insights.

This study aims to evaluate the clinical characteristics and biochemical parameters of hemophagocyti...

Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination.

The rapid deployment of COVID-19 vaccines has necessitated the ongoing surveillance of adverse event...

Machine Learning-Based Mortality Prediction for Acute Gastrointestinal Bleeding Patients Admitted to Intensive Care Unit.

OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patie...

Pre-transplant and transplant parameters predict long-term survival after hematopoietic cell transplantation using machine learning.

BACKGROUND: Allogeneic hematopoietic stem transplantation (allo-HSCT) constitutes a curative treatme...

Accurate Estimation of Methemoglobin and Oxygen Saturation in Skin Tissue Using Diffuse Reflectance Spectroscopy and Artificial Intelligence.

In this paper, we present a noninvasive method for the accurate estimation of methemoglobin concentr...

Machine Learning Predicts Bleeding Risk in Atrial Fibrillation Patients on Direct Oral Anticoagulant.

Predicting major bleeding in nonvalvular atrial fibrillation (AF) patients on direct oral anticoagul...

Identifying periphery biomarkers of first-episode drug-naïve patients with schizophrenia using machine-learning-based strategies.

Schizophrenia is a complex mental disorder. Accurate diagnosis and classification of schizophrenia h...

Urban and rural disparities in stroke prediction using machine learning among Chinese older adults.

Stroke is a significant health concern in China. Differences in stroke risk between rural and urban ...

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