Healthcare AI

Healthcare puts every AI architecture decision in context: sensitive records, complex workflows, and people who need the system to be dependable. Our coverage examines model deployment, data boundaries, operator judgment, and evidence from published implementations.

Healthcare AI’s next design problem: permission
Private inference settles where a model runs. The operating design must settle which patient, which purpose, which action—and who can stop it.
Claude’s next chapter in healthcare
From healthcare workflows to Fable 5.1, Anthropic’s progress makes model routing, data boundaries, and evaluation more consequential.
Nagendra Bandaru and Wipro’s AI-Native Contact Center Playbook
How Wipro Healthcare Process Solutions paired NVIDIA’s AI stack with a phased operating model—and the performance measures CIOs should examine before scaling.
The builder’s advantage
The FDEs are coming. Sam Sweilem on agentic engineering, private AI, and the cost of waiting for consensus.