Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fus...
INTRODUCTION: Pediatric surgeons face substantial administrative workload. Large language models (LL...
BACKGROUND AND OBJECTIVE: Three-dimensional (3D) augmented reality (AR) and artificial intelligence ...
Volatility forecasting plays a critical role in risk management and financial decision-making by fac...
Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), but their...
BACKGROUND & AIMS: Assessment of histologic disease activity (grading) and fibrosis (staging) is a p...
BACKGROUND: Clinical trials face unprecedented challenges including recruitment delays affecting 80%...
The issue of food safety is an important cornerstone for safeguarding human health and life. Food sa...
OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study...
BACKGROUND: Searching online for dental emergency treatment as a non-expert can lead to unreliable g...
BACKGROUND AND AIMS: The substantial miss rate during screening and surveillance colonoscopy, partic...
BACKGROUND: Warnings are commonly used to signal the fallibility of AI systems like ChatGPT in clini...
Speed enforcement cameras are implemented worldwide to regulate driving behaviours and enhance road ...
AIMS: To (1) analyse managers' experiences with handling patient safety incident reports in an incid...
PURPOSE: To investigate the association between best-corrected visual acuity (BCVA) and quantitative...
BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objec...
Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, ...
CONTEXT: Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patien...
OBJECTIVES: Domain shift has been shown to have a major detrimental effect on AI model performance h...
To develop and validate a deep-learning-based algorithm for automatic identification of anatomical l...
INTRODUCTION: Adverse drug reactions (ADRs), including those resulting from drug interactions, remai...