All terms
Locked vs. Adaptive Algorithm
Distinction between models whose behavior is fixed at release vs. those that continue learning.
Reviewed by Christian Espinosa, Founder, Blue Goat CyberLast reviewed May 5, 2026
Definition
A locked algorithm produces the same output for the same input every time after release. An adaptive algorithm changes its behavior over time as it is exposed to new data, either continuously or in scheduled retraining cycles.What this means in practice
FDA's PCCP framework lets manufacturers prospectively define and validate the boundaries of allowable adaptive changes so retraining does not require a new submission for each model update.Cross-references
Uses
Concepts or artefacts this term builds on.
Primary references
3 sourcesLink health: 2 verified 1 bot-blocked· last checked 2026-05-09
FDA·2MDCG·1
- 1
PCCP GuidanceBot-blockedFDAfda.gov
- 2
MDCG Software GuidanceVerifiedMDCGhealth.ec.europa.eu
- 3
FDA - Software as a Medical Device (SaMD)VerifiedFDAfda.gov
Inline markers like [1] jump to the matching reference above.