Medical imaging leads the current wave of AI adoption in healthcare. Providers are integrating these tools to improve diagnostic accuracy and patient outcomes. However, the transition requires strict data governance and clinical validation. Practitioners must prioritize interoperability to avoid creating fragmented data silos within hospital systems.