One of the challenges with AI is ensuring that its training datasets are free from bias. It’s critical to have explainability and transparency in AI models for both patient and physician trust. Continuous monitoring is essential to avoid unexpected shifts in model performance, commonly known as "model drift." It’s not a “set it and forget it” approach but a continuous process to ensure models remain effective and reliable. Without careful integration, these efforts may face significant challenges.