Hematology

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation.

BACKGROUND: Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication...

Artificial intelligence in transfusion medicine: Soon the end of the beginning?

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

Artificial Intelligence Applications in COVID-19-Associated Coagulopathy: Lessons Learned.

Coronavirus disease 2019 (COVID-19)-associated coagulopathy (CAC) is a thromboinflammatory syndrome ...

Early prediction of adult lymphoma-associated haemophagocytic lymphohistiocytosis using an interpretable machine learning model.

Lymphoma-associated haemophagocytic lymphohistiocytosis (LA-HLH) is associated with a high mortality...

Fundamentals of big data and artificial intelligence in transfusion medicine.

Within the digital transformation of medicine, transfusion medicine has quietly become a big-data di...

Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency.

Transfusion medicine generates enormous volumes of data across the vein-to-vein continuum, spanning ...

Integrated bioinformatics and machine learning, research on specific biomarkers for large-artery atherosclerosis stroke.

Large-artery atherosclerosis stroke (LAA) is the main subtype of ischemic stroke. Currently, the dia...

A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening.

When seconds matter - introducing a surgical salvage strategy by emergency robotic surgery: a review.

Robotic surgery has expanded minimally invasive options but introduces specific vulnerabilities duri...

Beyond fluorescence: A critical look at AI-powered brightfield analysis for T-cell killing assays.

This comment evaluates dela Cruz-Chuh et al.'s AI-based label-free workflow for analyzing T-cell med...

Exploring exosome-related genes as candidate biomarkers in primary immune thrombocytopenia through transcriptomics and preliminary experimental validation.

Primary Immune Thrombocytopenia (ITP) is an autoimmune disease characterized by thrombocytopenia and...

Machine learning-based models using preoperative imaging and clinical data to predict intraoperative rebleeding and functional recovery in intracerebral hemorrhage patients: a multicenter study.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is associated with high mortality and disabil...

Effect of a clinical decision support system on stroke care quality and outcomes in patients with acute ischaemic stroke (GOLDEN BRIDGE II): cluster randomised clinical trial.

OBJECTIVE: To evaluate the efficacy of a clinical decision support system (CDSS) on stroke care qual...

Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.

AIMS: Biological age is increasingly recognized as a superior predictor of morbidity, mortality, com...

Prediction of preterm and low birth weight risk using a physiology based artificial neural network integrating hematological, dental, and periodontal index markers: a cross sectional study based on machine learning.

Predicting toxicity and bioactivity of the chemical exposome: a case study for the blood exposome database.

Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are dete...

Automated multi-chemical dosing control based on machine learning for magnetic coagulation in aquaculture wastewater.

Magnetic coagulation using magnetic powder with polyaluminum chloride and polyacrylamide is a promis...

Percutaneous coronary intervention in high bleeding risk patients: a review of contemporary management strategies.

INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous co...

Advances in Electrocardiogram-Based Non-Invasive Blood Glucose Monitoring Technology.

Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are...

Interpretable Clinical-Radiomics Model for Prediction of Blood Stasis and Left Atrial Appendage Thrombus.

BACKGROUND: The left atrial (LA) morphological profile, anatomically contiguous with the left atrial...