Latest AI and machine learning research in hematology for healthcare professionals.
BACKGROUND: Intraoperative blood loss is a critical issue in the care of patients with burns. The ti...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...
Despite growing clinical use of contrast-enhanced ultrasound (CEUS), inconsistency remains in the mo...
Blood pressure (BP) control is essential for both the prevention and long-term management of aortic ...
BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes c...
OBJECTIVE: To investigate the association between hemoglobin to red blood cell distribution width ra...
Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...
BACKGROUND AND OBJECTIVE: Despite the profound advancements that deep learning models have achieved ...
Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly increa...
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This...
The blood-brain barrier (BBB) represents a formidable challenge in the treatment of neurological dis...
OBJECTIVES: Tumor necrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis...
Tuberculosis (TB) remains a major global health challenge, contributing substantially to morbidity a...
Mild cognitive impairment (MCI) represents an initial phase of memory or other cognitive function de...
In order to address the challenges posed by the large number of images acquired during wireless caps...
The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like...
The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic h...
Biallelic inactivating variants in ZNF142 underlie a clinically variable neurodevelopmental disorder...
BACKGROUND AND OBJECTIVES: Large language models (LLMs) such as GPT-4 are increasingly utilized in c...
BACKGROUND: Quantifying biological parameters of interest through dynamic positron emission tomograp...