Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND & AIMS: Assessment of histologic disease activity (grading) and fibrosis (staging) is a prerequisite for patient selection and evaluation of treatment response in clinical trials of metabolic dysfunction-associated steatohepatitis (MASH). The lack of universally accepted definitions of histological components required for metabolic dysfunction-associated steatotic liver disease (MASLD) ...
BACKGROUND: Clinical trials face unprecedented challenges including recruitment delays affecting 80% of studies, escalating costs exceeding $200 billion annually in pharmaceutical R&D, success rates below 12%, and data quality issues affecting 50% of datasets. Artificial intelligence (AI) offers transformative solutions to address these systemic inefficiencies across the clinical trial lifecycle. ...
The issue of food safety is an important cornerstone for safeguarding human health and life. Food safety problems caused by biotoxins (animal toxins, ...
OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study 2 (AREDS2) data elements, encompassing phenotypic...
BACKGROUND: Searching online for dental emergency treatment as a non-expert can lead to unreliable guidance. We tested the publicly available first mu...
BACKGROUND AND AIMS: The substantial miss rate during screening and surveillance colonoscopy, particularly for the right side, underscores the need to...
BACKGROUND: Spasticity is a common consequence of upper motor neuron syndrome, affecting approximately 42.6% of stroke patients and impairing quality ...
BACKGROUND: Warnings are commonly used to signal the fallibility of AI systems like ChatGPT in clinical decision-making. Yet, little is known about wh...
Speed enforcement cameras are implemented worldwide to regulate driving behaviours and enhance road traffic safety. Proper allocation of speed cameras...
For ensuring blood safety, potential blood donors undergo comprehensive eligibility screening, comprising a review of their medical history and a phys...
AIMS: To (1) analyse managers' experiences with handling patient safety incident reports in an incident reporting software, identifying key challenges...
PURPOSE: To investigate the association between best-corrected visual acuity (BCVA) and quantitative macular fluid volumes, compared to central subfie...
BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objective response rates in patients with hepatocellula...
Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, enabling improvements in diagnostic accuracy, ther...
CONTEXT: Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patients for medical information about their health cond...
OBJECTIVES: Domain shift has been shown to have a major detrimental effect on AI model performance however prior studies on domain shift for MRI prost...
To develop and validate a deep-learning-based algorithm for automatic identification of anatomical landmarks and calculating femoral and tibial versio...
INTRODUCTION: Adverse drug reactions (ADRs), including those resulting from drug interactions, remain a leading cause of morbidity and mortality. Stru...
AIM: To examine the evolution of intensive care nurses' roles in pharmacological haemodynamic management from 1975 to 2025 and to explore projected re...
BACKGROUND: Chatbots are increasingly utilized in the health care landscape, including in sexual and reproductive health (SRH). These tools have shown...