Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Non-communicable diseases (NCDs) account for ∼71% of all deaths globally, including 15 million prema...
The interaction between physical activity and sleep with cardiovascular disease remains poorly under...
This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood usi...
Hepatocellular carcinoma is the most common type of primary liver cancer and remains a major global ...
Musculoskeletal conditions are a leading global cause of disability, yet the factors influencing lon...
Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from p...
Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction ...
Effective risk communication is essential to shared decision-making in prostate cancer care. However...
Opioid Use Disorder (OUD) continues to pose a pressing public health challenge across the United Sta...
Client attendance is vital for the success of HIV vertical transmission prevention programs, yet 23....
Sleep, physical activity, and nutrition (SPAN) are major modifiable risk factors for cardiovascular ...
Cardiac surgery is one of the most complex and high-stakes areas of medicine, where intraoperative d...
This scoping review explores how predictive modelling can strengthen pre-exposure prophylaxis (PrEP)...
This study presents a novel two-stage framework to enhance the reliability of resting electrocardiog...
Almost half of adults struggle to understand written health information, making medical communicatio...
Type 2 diabetes mellitus (T2DM) affects almost half a billion people, and the projected cost is $2.2...
Amyotrophic Lateral Sclerosis (ALS) progressively impairs motor functions, making communication incr...
Cardiovascular disease (CVD) is a leading global health burden. Traditional risk prediction models, ...
Simulated medical scenarios are useful for evaluating and developing clinical competencies but sched...
Medical jargon poses significant barriers to patient comprehension of healthcare information, potent...
Radiofrequency (RF)-induced burns are the most common MRI-related adverse event. Standard safety pra...