Latest AI and machine learning research in hematology for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is reshaping healthcare, with its applications in transfusi...
Multi-object editing aims to modify multiple objects or regions in complex scenes while preserving...
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- an...
Identifying and counting blood components such as red blood cells, various types of white blood ce...
Quantitative Systems Pharmacology (QSP) promises to accelerate drug development, enable personaliz...
Population pharmacokinetic (PopPK) modelling is a fundamental tool for understanding drug behaviou...
Surgical workflow recognition is vital for automating tasks, supporting decision-making, and train...
In this work, we apply the space-time Galerkin reduced basis (ST-GRB) method to a reduced fluid-st...
Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...
Purpose To develop an unsupervised deep learning framework for generalizable blood-brain barrier lea...
OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains th...
Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in...
Diabetes is a civilization chronic disease characterized by a constant elevated concentration of g...
Wireless Capsule Endoscopy is a non-invasive imaging method for the entire gastrointestinal tract,...
Despite the growing adoption of electronic health records, many processes still rely on paper docu...
Current crowd-counting models often rely on single-modal inputs, such as visual images or wireless...
Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. Ho...
The hematology analytics used for detection and classification of small blood components is a sign...
Intraoperative adverse events (IAEs), such as bleeding or thermal injury, can lead to severe posto...
Surrogate markers are most commonly studied within the context of randomized clinical trials. Howe...
Blood vessel networks in the brain play a crucial role in stroke research, where understanding the...