Mount Sinai study multi-agent AI shows higher accuracy and lower computing use managing up to 80 clinical tasks simultaneously in simulations.

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

As enterprise AI agent adoption accelerates, a new study exposes a governance gap that leaves most organizations unable to stop their own systems ...