As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

From fintech innovations to AI-powered governance, personalized jewellery to enterprise transformation, the 6th cohort of AI100 leaders is shaping AI into a mindset, building intelligent systems and ...

RESEARCH presented at UEG Week 2025 revealed how Westernised diets, which are rich in fat and sugar but low in fibre, can accelerate colon cancer development by reshaping the gut microbiome, ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

As healthcare providers increasingly adopt artificial intelligence tools, researchers, physicians and health tech companies ...

Adoption of artificial intelligence tools in health care lags other industries; within health care, nursing and residential care is even further behind.

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of ...

This article is the latest in the Health Affairs Forefront featured topic, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...

Built on trust clinician-first AI enhances clinical workflows and reduces burnout to improve patient outcomes in hospitals and health systems.