Hematology

Personalizing total quality management strategies for transfusion services: Integrating artificial intelligence, Big Data, and the SoHO framework.

Blood metabolic panels for identifying significant fibrosis and inflammation in patients with MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD) remains a prevalent condition with ...

Predicting postoperative length of stay: a feature selection approach to predictive modeling in lumbar fusion surgery.

BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allo...

Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions.

This scoping review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Me...

Investigation of droplet dynamics in the hypermonotectic succinonitrile-water system in a temperature gradient and microgravity conditions supported by deep learning computer vision.

We have investigated the liquid-liquid phase separation from a homogeneous liquid phase and the subs...

Evaluation of a Semi-Supervised AI Model (ASUS Blade) for Peripheral Blood Film Leukocyte Classification.

BACKGROUND: The peripheral blood film (PBF) analysis traditionally relies on manual microscopy (MM),...

Sociodemographic Predictors of Child-Parent Agreement on Oral Health.

BACKGROUND: Oral health is vital for children's overall well-being. Parents play a critical role in ...

Comparative Performance of Machine Learning and Traditional Risk Scores in Predicting Adverse Events After Transcatheter Aortic Valve Replacement in Patients With Atrial Fibrillation.

Patients with atrial fibrillation (AF) following transcatheter aortic valve replacement (TAVR) remai...

Creating Solutions to the Challenges in Managing Heparin Infusions: Exploring Use of Technology Including Artificial Intelligence and the Role of Anticoagulation Stewardship.

Adverse events and medication-related errors are common with anticoagulants. Heparin infusions are f...

Sustainable silk fibroin scaffolds for bone repair: assessing their osteogenic potential via AI-enhanced synchrotron imaging workflow.

Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized mat...

Consensus machine learning identifies cell death gene signature for carotid artery stenosis diagnosis.

Carotid artery stenosis (CAS) is a major contributor to ischemic stroke, and molecular tools for its...

Development of Automated High-Throughput Digital Microscopy With Deep Learning for Enhanced Blood Smear Imaging.

A microscope is essential in scientific and medical research, enabling the magnification of specimen...

A Simple Laboratory-based Machine Learning Model Accurately Predicts Advanced Liver Fibrosis in Metabolic Dysfunction-associated Steatotic Liver Disease Patients.

BACKGROUND/AIM: Metabolic dysfunction-associated steatotic liver disease (MASLD) is often silent and...

Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID.

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumula...

Machine learning-based binary classification of elevated HbA1c (≥6.5 %) for risk assessment.

OBJECTIVE: One of the most important biomarkers for evaluating long-term glycemic management and est...

DGPCNet: anemia detection from multimodal palm, fingernails, and eye conjunctiva images using deep global pyramid convolutional network.

BACKGROUND: Anemia is one of the most common hematological disorders causing fatigue, increased vuln...

Development and multicenter validation of a machine learning model for postoperative sepsis risk in critically Ill traumatic spinal injury patients.

OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically i...

Advancements in the study of exosomes in disease diagnosis and treatment.

Exosomes are small, membrane-enclosed vesicles that can originate from a variety of sources and cont...

Artificial intelligence-driven 3-dimensional simulation system for enhanced preoperative planning in gastric cancer surgery: a retrospective validation study.

BACKGROUND: Few studies have developed artificial intelligence (AI) systems for the automatic recogn...

In vitro blood flow dataset in circular microchannels: High-speed videomicroscopy, micro-piv, and cell-free layer measurements.

This dataset provides micro-particle image velocimetry (µPIV) and high-speed imaging of red blood ce...

Multilayer Ag-Au-BP-TIBr-FASnI3 Kretschmann surface plasmon resonance biosensor for high sensitivity refractive index analysis: A computational and machine learning approach.

Detection of refractive-index variations is fundamental for the development of next-generation optic...