Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare ...

Building strong support systems from both clinical and personal perspectives can drive optimal patient outcomes. Jeffrey Matous, MD: Let’s fast-forward a little. We’re in the future, where we’re a ...

Kunal is a thought leader in Digital Journal’s Insight Forum (become a member). The intersection of Artificial Intelligence (AI) and analytics-based decision support systems has the potential to ...

Whether it’s a routine checkup, a sudden emergency, or specialized treatment for complex conditions, hospitals and health ...

CLAYMONT, Del., Feb. 11, 2026 /PRNewswire/ -- A coalition of the nation's most respected health systems, patient-safety leaders, and clinical and technology innovators today announced the launch of AI ...

Deployment of artificial intelligence for point-of-care clinical decision support is in its nascency. Despite the media attention and proliferation of AI studies, translation to clinical practice is ...

Intensive care unit (ICU) information systems lie at the heart of modern critical care provision, integrating extensive streams of clinical data with decision support tools to aid healthcare ...

In this interview, News Medical speaks with Laís Junqueira, Quality, Patient Safety and Innovation Manager at Elsevier, about patient safety challenges in pediatric care, the importance of ...

For patients facing low health literacy and significant social determinants of health challenges, navigating the healthcare ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--PercAssist, Inc., a medical device company developing innovative technology for a minimally invasive, extravascular platform to provide hemodynamic support for ...