Latest AI and machine learning research in risk management for healthcare professionals.
Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting a...
OBJECTIVE: Stroke is a leading cause of morbidity and disability worldwide. Post-stroke cognitive im...
Depression is highly recurrent and heterogenous in its individual course, requiring a personalized t...
Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabl...
This study introduces a novel labeling pipeline to accelerate the labeling process of scientific dat...
BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates compreh...
Background MRI protocols typically involve many imaging sequences and often require too much time. P...
Recent advances in machine learning have revolutionized molecular design; however, a gap remains in ...
Blood pressure is a critical risk factor for cardiovascular diseases (CVDs), yet most adults do not ...
In the rapidly evolving field of healthcare 5.0, the Internet of Medical Things (IoMT) is expected t...
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical...
BACKGROUND: Effective communication skills are fundamental for health care professionals, yet conven...
INTRODUCTION: Intensive care unit-acquired weakness (ICUAW) is a common and severe complication in c...
Accurate prediction of protein-peptide complex structures plays a critical role in structure-based d...
In recent years, the fusion of the medical and computer science domains has gained significant tract...
BACKGROUND: This study aims to investigate the relationship between muscle activation variables asse...
BACKGROUND: Invasive coronary angiography (ICA) is the gold standard in the diagnosis of coronary ar...
INTRODUCTION: Deep brain stimulation (DBS) is a proven effective treatment for Parkinson's disease (...
Limited transparency of machine learning models poses risks their effective use. Through semi-struct...
Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability an...