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

For years, the approach to sepsis in acute care settings has been the same: early warning alerts and standardized care protocols. Unfortunately, it hasn’t moved the needle. Sepsis still affects 2.5 ...

A new study published in the Journal of Medical Internet Research reveals how "super users"—clinicians who lead the charge in ...

Explore big themes healthcare heading into 2026 with AI governance, data quality, and predictive models driving measurable clinical impact.

A newly developed tool, called the DILI-Inpt prognostic score, can predict patients with drug-induced liver injury who are ...

An AI tool that can analyze abnormalities in the shape and form of blood cells, and with greater accuracy and reliability ...

The number of on-market, digitally enabled health solutions is increasing steadily; if and how they fit within the health care ecosystem, however, is unclear. Their role in health care depends on ...