Hematology

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

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Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy.

Hepatocellular carcinoma (HCC) frequently coexists with portal hypertension, significantly increasing the risk of hepatic decompensation (HD) and variceal bleeding during systemic therapy. We developed a machine learning based hepatic safety score (MHSS) using data from 2026 patients with unresectable HCC to predict clinically significant portal hypertension (CSPH) and prognosis. A random forest m...

May 22 2026 42168526

Understanding Blood-Injection-Injury Phobia: Do Not Miss the Point.

Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It can significantly disrupt operating room throughput, increase healthcare costs, cause delays in care, and lead to patient disengagement with the healthcare system. These phobias, which involve intense fear and anxiety about needles and blood, can increase procedural risks, requiring interventions such...

May 22 2026 42172480
Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Despite the advances in critical care and innovations of medical technology, earlier identification of children at high mortality risk remains challen...

May 21 2026 42174888
Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records.

Prediabetes (PD), a reversible metabolic condition that precedes type 2 diabetes (T2DM), carries a high risk of progression to T2DM, but can be effect...

May 21 2026 42174929
Evaluating Postpartum Hemorrhage Transfusion Risk with a Machine Learning Model for Informed Consent: Retrospective Cohort Study.

BACKGROUND: Postpartum hemorrhage requiring a blood transfusion is a concern for patients and clinicians. Postpartum hemorrhage risk and mode of deliv...

May 21 2026 42166718
Temporal In Vitro Models of Skin Wound Healing Components: A Cell-Specific Framework for Acute and Chronic Repair Mechanisms.

SIGNIFICANCE: Wound healing is as much about opportunity (Gk. Karios) and sequence (Gk. Chronos). The sequential healing responses involve concerted r...

May 21 2026 42167937
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 diagnosed early for effective treatment planning. Sever...

May 21 2026 42168318
Pan-cancer analysis of single-cell profiles with polygenic signals reveals genetic influences on tumor immunity across cancers.

Inherited genetic variation can weaken the ability of the immune system to detect and eliminate malignant cells, limiting the effectiveness of cancer ...

May 21 2026 42168330
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 global morbidity and mortality. Despite the Life's Esse...

May 21 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 adults with Type 2 Diabetes (T2D), examining biologica...

May 21 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, and laboratory test results to assess the risk of ...

May 21 2026 42161372
An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.

BACKGROUND: Conventional cytogenetic analysis remains central to the diagnosis and risk stratification of hematological malignancies but is constraine...

May 20 2026 42318451
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 filtration rate (eGFR) within a 2-year period, is as...

May 20 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, limiting the efficacy of current risk stratification. ...

May 20 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 diabetes and cardiovascular disease. Diagnosis typicall...

May 20 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 artificial intelligence (AI) for predicting variceal ...

May 20 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 emergencies, surgeries, and prenatal care. Conventional meth...

May 20 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 this pilot study, we conducted a preliminary evaluati...

May 20 2026 42159872
Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute myocardial infarction (CS-AMI). Acute kidney injur...

May 20 2026 42160715
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 conventional disease activity instruments. Artificial i...

May 20 2026 42161343
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