Core clinical engineering and protocols for Deterministic Safety Interlocks.
Large Language Models and deep neural networks are inherently probabilistic: even the most advanced clinical models occasionally hallucinate plausible-sounding but medically dangerous recommendations (such as prescribing penicillin to an allergic patient or calculating adult drug dosages for a neonatal infant).
AgenticSaMD implements a strict two-stage execution architecture: the probabilistic agent generates diagnostic insights, but every therapeutic action is passed through a deterministic, hardcoded verification engine. If an agent recommends an incompatible drug combination or out-of-range dosage, the deterministic guardrail unconditionally vetoes the recommendation.