Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
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...
Artificial intelligence (AI) in healthcare holds transformative potential but risks exacerbating exi...
Lymphoma diagnosis remains challenging due to diverse subtypes and nonspecific presentations. While ...
Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a...
Gender-neutral patient education materials often overlook critical sex-based differences in cardiova...
Carbapenem-resistant Gram-negative bacteria (CR-GNB) represent a major health challenge due to limit...
Diagnosis of asthma in primary care is challenged by a multistep pathway with variable adherence lea...
UK ambulance services face record demand, resourcing challenges and rising clinical documentation bu...
Between 2010 and 2021, fentanyl and stimulants co-involved deaths increased from 0.6% to 32.3% of al...
The course of psychotic disorders typically involves relapses. Early warning signs vary between indi...
Rare events, despite their infrequency, often carry critical information and require immediate att...
Prenatal ultrasound evaluates fetal growth and detects congenital abnormalities during pregnancy, ...
Traditional communication signal detection heavily relies on manually designed features, making it d...