AI in Healthcare Regulation

Describe a framework for evaluating and approving AI-enabled diagnostic software for dental and ophthalmic care, focusing on data quality, validation methods, safety, patient privacy, clinician workflow integration, and post-market monitoring. Compare how different regulatory approaches balance innovation with patient protection, and propose best practices for scalable adoption of AI tools across medical specialties.