Deploy AI models in healthcare through phased pilots, using clinically validated datasets and bias audits. Establish strict data governance, patient consent, and privacy compliance. Implement human-in-the-loop oversight for all clinical decisions. Mandate regulatory approvals, model explainability, and documentation. Conduct continuous performance monitoring, post-deployment audits, and retraining. Define clear accountability, cybersecurity safeguards, and standardized quality benchmarks to ensure safety, accuracy, transparency, and trust in real-world clinical use.