Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
Background: Statistical Analysis Plans (SAPs) are essential for trial transparency and credibility b...
Background: The administrative burden of clinical documentation is a recognised contributor to clini...
Vision-language process reward models (VL-PRMs) are increasingly used to score intermediate reasonin...
The use of synthetic data has become increasingly popular as a privacy-preserving alternative to sha...
Infertility generates profound psychological and social distress for both women and men, yet mens co...
Large healthcare institutions typically operate multiple business intelligence (BI) teams segmented ...
We developed and validated a self-administered clinical vignette platform powered by a large languag...
Recent methods for pathology report generation from whole-slide image (WSI) are capable of producing...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation pr...
We introduce TeMLM, a set of transparency-first release artifacts for clinical language models. TeML...
Integrating deep learning into healthcare enables personalized care but raises trust issues due to m...
In July 2025, 18 academic manuscripts on the preprint website arXiv were found to contain hidden i...
This study examines how domestic violence victims can effectively disclose their experiences in onli...
Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face sign...
The rapid rise of generative artificial intelligence (AI) is fundamentally transforming the landscap...
We study the ability of language models to reason about appropriate information disclosure - a cen...
Autonomous Mobility-on-Demand (AMoD) systems, powered by advances in robotics, control, and Machin...
Minoritised ethnic people are marginalised in society, and therefore at a higher risk of adverse o...
Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting a...
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...