Hematology

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

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Microscopic image enhancement for accurate sickle cell disease identification using intuitionistic fuzzy driven retinex.

Sickle cell disease (SCD) is a debilitating genetic blood disorder that must be identified and diagn...

May 2026 42168318
Life's Essential 8-Defined Cardiovascular Health and Mortality Risk in Cardiovascular-Kidney-Metabolic Health Stages 0-4: A Cohort Study.

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome represents a primary contributor to globa...

(1)
May 2026 42168678
Gender disparities in random blood glucose levels among Pakistani adults with type 2 diabetes: a cross-sectional analysis.

This study investigated gender disparities in random blood glucose (RBS) levels among Pakistani adul...

May 2026 42128905
Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, ...

May 2026 42161372
Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD.

BACKGROUND: Substantial loss of kidney function, measured as ≥40% decline in estimated glomerular fi...

May 2026 42163261
Gene expression integration and similarity score based modeling improve risk stratification in idiopathic venous thrombophilia.

BACKGROUND: Idiopathic venous thromboembolism (VTE) occurs in the absence of provoking factors, limi...

(1)
May 2026 42167585
Screening for Periodontitis Using Blood Biomarkers and Demographic Data: A Machine Learning Study.

PURPOSE: Periodontitis is a common chronic disease associated with systemic conditions such as diabe...

(1)
May 2026 42159081
Predictive performance of CT-based artificial intelligence for predicting variceal bleeding in portal hypertension: a systematic review and meta-analysis.

OBJECTIVES: To systematically evaluate the predictive accuracy of computed tomography (CT)-based art...

May 2026 42159671
Automated blood group classification using a digital microfluidics chip and vision transformer-based image analysis.

Identifying blood groups accurately is critical for safe medical practices, especially in emergencie...

May 2026 42159803
Extracting Signs and Symptoms of Hypertensive Disorders in Pregnancy from Clinical Notes Using Natural Language Processing.

PURPOSE: Hypertensive disorders in pregnancy (HDP) affect 16% of births in the United States. In thi...

May 2026 42159872
Artificial intelligence in the care of systemic lupus erythematosus: Current capabilities and translational barriers.

BackgroundThe clinical heterogeneity of systemic lupus erythematosus exceeds the resolution of conve...

May 2026 42161343
BRPtools: An AutoML-Powered web platform for multiclass disease prediction from bulk blood RNA-seq data.

Blood-based transcriptomic profiling provides a minimally invasive approach for disease diagnosis; h...

May 2026 42293244
[Position paper of the German Society of Cardiology-quality criteria for performing catheter ablation of atrial fibrillation: executive summary].

The updated German Society of Cardiology (DGK) position paper on catheter ablation of atrial fibrill...

(2)
May 2026 42154219
Application of an AI-Based Pediatric Early Warning Score in the Pediatric Emergency Department: Cross-Sectional Study.

BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often...

(1)
May 2026 42155091
Feasibility study of non-invasive blood pressure measurement based on multidimensional characteristics of radial artery pressure pulse wave.

OBJECTIVE: This study focuses on a non-invasive blood pressure prediction method based on radial art...

May 2026 42155530
Using clinical and thrombus characteristics to predict the etiology of ischemic stroke: An analysis of the INSIGHT registry.

BACKGROUND AND PURPOSE: Ischemic stroke comprises about 87% of all stroke cases in the US. 20% of th...

May 2026 42155823
Leveraging Machine Learning and Network Biology Approaches to Predict Brain Gene Expression from Blood Transcriptomes.

Blood-based biomarkers offer a promising non-invasive strategy for detecting disease-related changes...

May 2026 42148810
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