Towards Deterministic End-to-end Latency for Medical AI Systems in NVIDIA Holoscan

The introduction of AI and ML technologies into medical devices has revolutionized healthcare diagnostics and treatments. Medical device manufacturers are keen to maximize the advantages afforded by AI and ML by consolidating multiple applications onto a single platform. However, concurrent execution of several AI applications, each with its own visualization components, leads to unpredictable end-to-end latency, primarily due to GPU resource contentions. To mitigate this, manufacturers typically deploy separate workstations for distinct AI applications, thereby increasing financial, energy, and maintenance …

advantages ai and ml ai applications ai systems applications cs.ai cs.lg cs.os cs.se devices diagnostics healthcare introduction latency medical medical ai medical device medical devices multiple nvidia platform systems technologies