Agentic AI models, like ESCARGOT, represent a major leap beyond traditional AI by autonomously coordinating multiple AI ...

NIH-supported clinical trial shows AI tool as effective as healthcare providers in generating referrals to addiction specialists.

How are Buffalo Translational Consortium researchers navigating the use of artificial intelligence (AI) in research? How is AI advancing translational science?

Traditional DCTs primarily focus on prospective data collection, adapting interventional research processes to virtual approaches and providing an incomplete picture of patients. This approach offers ...

Researchers from Florida Atlantic University argue that doctors should consider each patient's individual risk profile rather ...

As health care costs continue to rise, artificial intelligence (AI)-driven solutions are emerging as a powerful tool for ...

RxPreferred, a leader in transparent pharmacy benefits administration, introduces RxP-AI, an AI-powered platform designed to optimize benefits management and lower costs. RxPreferred has enhanced its ...

For the first time in 15 years, employment across the major health insurance companies fell last year, according to a Modern ...

This commentary explores the current state, challenges, and potential of artificial intelligence (AI) in health care revenue cycle management, emphasizing collaboration, data standardization, and ...

Here are the biggest stories out of ACC 2025: Five-year data from the Medtronic Evolut Low Risk Trial confirmed that its ...

The evidence-backed model delivered impressive results, but it doesn’t validate the wave of AI therapy bots flooding the ...

Artificial Intelligence (AI) in healthcare has gained significant attention for its potential to revolutionize patient care, ...