Validation and Verification of AI Systems in Healthcare

In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota explores the vital process of validation and verification for AI systems in healthcare, emphasizing their role in ensuring safety and effectiveness for patient care.

Dr. Jagota breaks down the unique challenges AI systems present compared to traditional medical devices, focusing on their ability to adapt and evolve. He examines the three fundamental principles of AI validation—analytical validation, clinical validation, and continuous performance monitoring—and shares real-world examples that highlight the importance of robust validation protocols.

Listeners will gain insights into regulatory requirements such as data management, performance evaluation, and continuous validation protocols. Dr. Jagota also discusses emerging trends like "validation by design" and automated validation tools that promise to reshape how AI systems are monitored throughout their lifecycle.

Join Dr. Jagota as he navigates the complexities of AI validation and provides actionable guidance for innovators and professionals ensuring their AI systems meet the highest regulatory standards.

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For more resources and insights, visit Nirdosh Jagota's Official Website.