Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
BACKGROUND: The use of artificial intelligence (AI) has rapidly increased in metabolic and bariatric...
PURPOSE: Retinal vascular features provide noninvasive biomarkers of systemic vascular health, and d...
Artificial intelligence (AI)-powered computational methods, such as machine learning and natural lan...
INTRODUCTION: Digital health interventions have emerged as promising solutions to strengthen materna...
OBJECTIVE: Screening for psychiatric risk in youth at the population level is often constrained by r...
BACKGROUND: Informed consent (IC) documents in spine surgery frequently lack procedure-specific risk...
BackgroundDigital technologies are reshaping leadership in nursing, making it essential to understan...
BACKGROUND: Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saha...
INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence...
Health professions' education (HPE) research has evolved within an academic ecosystem. This paper wo...
BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professional...
BACKGROUND: The growing number of hypoglycaemia risk prediction models for Type 2 diabetes mellitus ...
Continuous glucose monitoring (CGM) has markedly advanced diabetes care by enabling real-time visual...
PURPOSE: To develop and validate deep learning models for predicting keratoconus progression risk us...
BACKGROUND: Participatory approaches (including co-research, co-design, Patient and Public Involveme...
Generative artificial intelligence (AI) has emerged as a transformative tool for creating high-quali...
OBJECTIVES: Oligometastatic disease represents an intermediate stage of cancer, often treated with s...
BACKGROUND: The use of artificial intelligence (AI) in health care is growing quickly, but there is ...
INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (C...
PURPOSE: To develop a machine learning (ML)-driven polygenic risk score (PRS) for diabetic retinopat...
AI is reshaping medical research and healthcare delivery, yet the translation of AI innovations into...