"decision support"

In environments where software influences real clinical decisions, rigor is not optional. It is the condition that makes progress safe.

Senator Lindsey Graham’s death highlights how healthcare AI can improve diagnosis, care coordination and patient follow-up without replacing...

Machine learning has unlocked significant value across the entire healthcare delivery lifecycle.

In a world of machine-speed actors, security can’t afford to move at human speed.​​

GenAI’s breakthrough in mathematics offers a lesson for medicine: solving healthcare’s biggest problems means questioning old assumptions.

Microsoft's Copilot Health preview is live — and it's heading enterprise. Here's what healthcare CIOs need to know before it reaches your wo...

Sometimes, the best response for a predictive ML system is to pause, acknowledge that it does not have enough information and escalate the c...

The narrative that RAG is dead has been repeated by enough credible voices that many engineering leaders have started to believe it.

As U.S. patient care moves to ambulatory settings, provider tech can't keep up. Five strategies from athenahealth CEO Bob Segert for a bette...

Helping people make informed decisions may ultimately create more value than providing additional information.

While the model is often the first suspect for AI pilots stalling, the architecture is the more likely culprit.

As telecom operators move beyond AI experimentation, agentic AI is emerging as a practical decision support layer that can improve network o...