Hematology

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

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Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review.

BACKGROUND: Intraoperative bleeding is a critical event that impacts surgical safety and patient out...

Jun 2026 42269098
Genomics of Dendritic Cell Pyruvate Metabolism Reveals Stage-Associated Circulating Immune Signatures in Diabetic Retinopathy.

BACKGROUND: The role of circulating pyruvate in diabetic retinopathy (DR) progression is poorly defi...

Jun 2026 42270003
HeLP-BAG score: a novel data-driven scoring system for predicting post-operative 30-day mortality using 24-hour preoperative data.

BACKGROUND: Accurate preoperative risk stratification remains challenging, as existing scoring syste...

Jun 2026 42260375
Age-stratified risk profiles for emergency colorectal cancer resection: A machine-learning analysis.

BACKGROUND: Emergency colorectal cancer resection (ECCR) is associated with worse perioperative and ...

(2)
Jun 2026 42263377
Prediction of avatrombopag-induced thrombocytosis in pediatric immune thrombocytopenia: an AI-based real-world study.

Avatrombopag (AVA), an oral thrombopoietin receptor agonist (TPO-RA), has demonstrated favorable eff...

Jun 2026 42260021
Progress of Traditional Chinese Medicine in Targeting Ferroptosis to Combat Cerebral Ischemia-Reperfusion Injury.

Cerebral ischemia-reperfusion injury (CIRI) often results in significant morbidity and mortality. Th...

Jun 2026 42261256
Pancreatic Cancer Risk Stratification Across Diabetes Stages: Development and Internal Validation of a Machine Learning Model.

BACKGROUND: Pancreatic cancer is diagnosed at advanced stages in diabetes patients. Existing predict...

(2)
Jun 2026 42257579
Machine Learning and AI Applied to fNIRS Data Reveals Novel Brain Activity Biomarkers in Stable Subclinical Multiple Sclerosis.

People with Multiple Sclerosis (MS) complain of problems with hand dexterity and cognitive fatigue. ...

(1)
Jun 2026 42258691
Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors from Whole-Slide Images.

Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tumor, driven ...

Jun 2026 42258704
Multiobjective blood pump impeller optimization with three response surface methods and prototype stator casting for an integrated motor pump.

Cardiovascular diseases are a leading cause of mortality worldwide; rotary blood pumps are a key the...

Jun 2026 42259877
Transferrin Receptor 1 (TFRC) and Ferroptosis-Related Biomarkers in Oncology: Analytical Evaluation and Translational Potential.

One of the important regulators of cellular iron uptake is transferrin receptor 1 (TFRC), which is c...

(1)
Jun 2026 42249840
Large language models for generating longitudinal synthetic data in low-risk pregnancy care.

This article describes an obstetric dataset covering the full continuum of care of 5000 synthetic lo...

(2)
Jun 2026 42317631
Development and validation of a machine learning-based prediction model for malnutrition risk in peritoneal dialysis patients: a multi‑center retrospective study.

PURPOSE: To develop and validate a machine learning (ML)‑based model for predicting malnutrition ris...

(1)
Jun 2026 42247202
Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study.

BACKGROUND: Large language models (LLMs) demonstrate potential in the laboratory, yet rigorous clini...

(2)
Jun 2026 42247415
Artificial intelligence for the prediction of prognosis in colorectal cancer patients using routine blood indices.

Overall survival (OS) of colorectal cancer (CRC) patients remains suboptimal, especially in advanced...

Jun 2026 42249119
Quantitative decoupling of the key factors and mechanisms of Fenton-pretreated membrane fouling mitigation via machine learning-assisted causal inference.

Fenton pretreatment effectively mitigates organic membrane fouling via synergistic oxidation and coa...

Jun 2026 42275829
An interpretable machine learning model for preoperative risk stratification in paediatric congenital heart disease surgery: a retrospective cohort study.

BACKGROUND: Congenital heart disease (CHD), one of the most common birth defects, poses challenges t...

Jun 2026 42243949
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