Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Federated learning (FL) methods for multi-organ segmentation in CT scans are gaining popularity, but...
Over the past 40 years, diagnostics have become the backbone of HIV prevention, treatment, and reten...
Extracellular vesicles (EVs), nanoparticles secreted by both gram-negative and gram-positive bacteri...
The ambulance dispatch system plays a crucial role in emergency medical care by ensuring efficient c...
Epilepsy is a common neurological disorder characterized by a significant rate of disability. Accura...
Recently, the epidemiological profile of avian influenza has changed dramatically worldwide. Avian i...
Cancer continues to be among the most substantial health challenges globally. Among various natural ...
BACKGROUND: Effective physician-patient communication is essential in clinical practice, especially ...
BACKGROUND: Standardized patients (SPs) prepare medical students for difficult conversations with pa...
Social robots are increasingly being used in therapeutic contexts, especially as a complement in the...
ObjectiveNonpuerperal mastitis (NPM) is an inflammatory condition, including periductal mastitis (PD...
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical ...
Ensuring data privacy in medical image classification is a critical challenge in healthcare, especia...
INTRODUCTION: Over the past decades, the integration of modern technologies - such as electronic hea...
BACKGROUND: Malignant digestive tract tumors are highly prevalent and fatal tumor types globally, of...
OBJECTIVE: To explore how artificial intelligence (AI) methodologies, particularly through the analy...
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by the accumulation of amyloi...
Electroencephalography (EEG) plays a crucial role in the diagnosis of various neurological disorders...
Esophageal cancer is one of the most common cancers worldwide, especially esophageal squamous cell c...
OBJECTIVE: Distal radius fractures account for 12%-17% of all fractures, with accurate classificatio...
OBJECTIVES: This study aimed to explore communication challenges between parents and healthcare prov...