Hematology

Correspondence on 'Evaluation of the impact of NOAC underdosing and exploration of bleeding risk factors in elderly patients with atrial fibrillation: artificial intelligence-based approach' by Protzenko et al.

Machine-Learning-Based Predictive Model for Trifecta Achievement in Robot-Assisted Partial Nephrectomy.

OBJECTIVE: To develop and internally validate a machine-learning-based nomogram for predicting trife...

Prediction Model for Delirium in Patients with Sepsis-Associated Liver Injury: An Interpretable Machine Learning Approach.

BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a seve...

Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies.

Staphylococcus aureus causes life-threatening bacterial infections. Current diagnostics for bone inf...

Whole genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis.

BACKGROUND: Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to ...

A hybrid machine learning approach for automated malaria diagnosis from thin blood smear images.

BACKGROUND: Malaria remains a significant global health challenge, requiring diagnostic approaches t...

Integrated Diagnosis of Submassive Pulmonary Embolism Using Computed Tomography Angiography, Echocardiography, and Artificial Intelligence.

OBJECTIVES: Early intervention in submassive pulmonary embolism (SMPE) has been shown to improve lon...

Interpretable machine learning using accumulated local effects to characterise predictors of subclinical leaflet thrombosis after self-expanding transcatheter aortic valve implantation.

OBJECTIVES: Subclinical leaflet thrombosis is an early form of bioprosthetic valve dysfunction after...

TIME: A Taylor-Inspired Mixed-Effects Model for IDH Prediction.

BACKGROUND: Intradialytic hypotension (IDH) is a critical complication in hemodialysis that increase...

Complication Risk Classification in Children and Adolescents With Type 1 Diabetes: Interpretable Machine Learning Study Based on Saudi Clinical Guidelines.

BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to se...

Multicentric data challenge for artificial intelligence-based classification of leukocytes: results from the CytologIA consortium.

Accurate morphological classification of blood leukocytes remains a cornerstone of hematological dia...

Standardization of surgical gesture taxonomy: a SAGES Delphi consensus study.

INTRODUCTION: Artificial intelligence (AI) for surgical workflow analysis often fails to generalize ...

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatt...

Development and validation of an interpretable machine learning model for early risk prediction of acute myocardial infarction.

BACKGROUND: Acute myocardial infarction (AMI) remains a leading cause of global morbidity and mortal...

Beyond eGFR and Albuminuria: Biological Pathways and Multiomics in Cardiovascular-Kidney-Metabolic Disease.

Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by...

Development and nested cross-validation of machine learning models for predicting transfusion requirements in pediatric craniosynostosis surgery.

Blood transfusion is common during pediatric craniosynostosis surgery; however, transfusion volumes ...

Hematopoietic Stem Cell Transplant and Brain Volume Changes in Adults With Sickle Cell Disease.

BACKGROUND AND OBJECTIVES: Adults with sickle cell disease (SCD) are at risk of decline in brain hea...

Identification and validation of cholesterol homeostasis and NK cell-associated predictive and therapeutic models for Coronary atherosclerotic heart disease patients with ST-elevated myocardial infarction: Insights from artificial intelligence and multi-omics.

OBJECTIVE: Dysregulation of Cholesterol homeostasis(CH) and NK cells proportion can increase risk of...

Diagnostic value of cytokine detection in children with Mycoplasma pneumoniae pneumonia complicated by bacterial or viral co-infections.

BACKGROUND: To evaluate the diagnostic value of cytokine levels in paediatric patients with Mycoplas...

From Flow to Feature Using a Proof-of-Concept Spectral-Driven Machine Learning Approach Using Smart Urinary and Drainage Catheter Systems: Algorithm Development and Validation.

BACKGROUND: Current urinary and drainage catheter systems collect fluids for visual inspection or ma...

Cuffless hemodynamic monitoring with physics-informed machine learning models.

Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring ...