Post-Market Change Control Emerges as Critical Hurdle for Healthcare AI

Deploying machine learning medical devices presents ongoing safety challenges long after initial regulatory approval is granted. Experts emphasize that developers must implement Predetermined Change Control Plans to govern algorithmic drift and retraining across multiple jurisdictions. Establishing uniform standards for post-market modifications remains essential to maintaining clinical efficacy and regulatory compliance.