Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
BACKGROUND: Training in social-verbal interactions is crucial for medical first responders (MFRs) to...
Federated Learning (FL) is an efficient, distributed machine learning paradigm that enables multiple...
Stroke is a leading cause of morbidity and mortality worldwide, and early detection of risk factors ...
The high incidence of venous thromboembolism (VTE) globally and the morbidity and mortality burden a...
Age-related macular degeneration (AMD) is a leading cause of blindness among the elderly worldwide. ...
BACKGROUND: This study aimed to develop and apply a novel computational pipeline combining SELFormer...
BACKGROUND: Fever of unknown origin (FUO) is a significant challenge for the medical community due t...
Meaningful and effective community engagement lies at the core of equity-centered research, which is...
Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological diso...
Health care images contain a variety of imaging information that has specific features, which can ma...
Sign language (SL) is a means of communication that is used to bridge the gap between the deaf, hear...
Recent years have seen formidable advances in artificial intelligence. Developments include a large ...
The billing database of the universal healthcare system in Japan potentially includes large-cohort d...
Although data-driven methods usually have noticeable performance on disease diagnosis and treatment,...
Here, we explore the transformative effects of artificial intelligence (AI) and large language model...
BACKGROUND: Despite the implementation of prevention strategies, family violence continues to be a p...
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, b...
BACKGROUND: The incidence of delirium in hospitalized coronavirus disease 2019 (COVID-19) patients i...
Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annua...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
Histopathological tissue classification is a fundamental task in computational pathology. Deep learn...