Continual learning is a model’s ability to adapt by incorporating new data or experience over time while retaining prior knowledge. In the medical device context this is termed continuous learning, where the device changes with each exposure to data during operation, raising oversight questions that a locked modelA locked model produces the same output every time the same … does not.
Sources: FDA Digital Health and AI Glossary; IMDRF N67 (2022)