Health tech regulators across North America and Europe are refining oversight for software as a medical device (SaMD) incorporating machine learning algorithms. The focus has shifted from pre-market approval to continuous performance validation in clinical environments.
Addressing Algorithmic Drift
Regulators are raising concerns over algorithmic drift—the degradation of diagnostic accuracy when models encounter patient demographics outside their original training sets. Hospitals are now required to deploy audit systems to monitor AI diagnostic output in real time.
Impact on Health Tech Valuations
Early-stage diagnostic developers face higher capital requirements to support ongoing regulatory compliance. Companies with proprietary, continuously updated clinical datasets will maintain a distinct advantage during institutional review.