Artificial intelligence (AI) is increasingly used in healthcare to enhance clinical decision-making,optimize operations, and improve patient outcomes. However, real-world deployment of AIsystems presents fundamental engineering challenges, including dataset shifts, physician-AIteam dynamics, and the need for continuous model validation and updating. These challengesthreaten the reliability and scalability of AI tools, limiting their ability to provide consistent...