A two-year pilot programme in Utah has established a promising model for regulating artificial intelligence in healthcare, demonstrating that independent oversight can simultaneously accelerate innovation and strengthen patient safety. The clinical AI sandbox, which concluded in March 2026, evaluated 47 algorithms through a multidisciplinary review board of clinical experts, data scientists, and bioethicists. Results published in Nature Medicine show that algorithms reviewed through this framework experienced 73% fewer post-implementation safety alerts compared to unregulated deployments. The sandbox approach also identified bias issues in 26% of reviewed algorithms, enabling critical modifications before widespread clinical use. Healthcare systems participating in the programme reported 40% faster clinical integration for approved algorithms, suggesting that rigorous oversight can build institutional confidence rather than impede adoption. The Utah model offers a practical governance framework that may serve as a template for medical AI regulation worldwide.
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