Advanced reasoning-based AI systems are showing physician-level performance on select diagnostic tasks, but researchers warn ...

In long term and post-acute care, the past decade has focused heavily on improving visibility into resident health. Remote ...

When this is done well, biomarkers accelerate decision-making, reduce uncertainty, and ultimately bring improved therapies to patients faster. When this is done poorly, however, biomarkers can add ...

Ultimately, making RWE actionable means shortening the gap between insight and application. When data is reliable, complete, and easy to use, it can support better decisions, faster adoption of new ...

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But ...

A detailed look at the benchmarking methodology used to measure clinical accuracy in the OpenVet AI hospital. MIAMI, ...

Abstract: The integration of artificial intelligence (AI) into Clinical Decision Support Systems (CDSS) is changing the face of healthcare by allowing AI powered predictive, data driven insights, ...

Dayton, Ohio-based Premier Health is scaling two clinical decision-support tools. UpToDate Expert AI combines evidence-based clinical information with advanced AI and is the only AI clinical reference ...

Machine learning (ML)-based clinical decision support (CDS) in the intensive care unit (ICU) has the potential to improve medical decision-making and patient outcomes. The chasm between model ...

Objectives People living with multiple long-term conditions (MLTC) admitted to hospital have worse outcomes and report lower satisfaction with care. Understanding how people living with MLTC admitted ...

While the integration of modern AI systems in clinical practice is currently in the process of transforming how medicine is being practiced, the focus of most research activities lies on AI-associated ...