Which is an important action to take after deploying AI models?

Regularly monitoring and managing retraining risks after deploying AI models is crucial for maintaining their effectiveness and relevance. AI models can experience performance degradation over time due to changing data inputs, shifts in patient demographics, or evolving best practices in dentistry. By instituting a monitoring system, practitioners can identify when the model's accuracy or effectiveness declines, prompting timely retraining with new, relevant data.

This proactive approach helps in adapting to rare cases, variations in patient information, or advancements in technology that could impact the model's predictions. Additionally, effective monitoring emphasizes the importance of continuous improvement, ensuring that the AI tool continues to meet the needs of the practice and its patients effectively.

The other choices do not support the ongoing enhancement and reliability of AI systems, thereby potentially hindering their optimal performance and application in a dental context.