A Framework for Safe, Secure, and Trustworthy Artificial Intelligence
AI in radiology promises improved care but demands a meticulous approach to ensure AI Safety. The RAISE (Radiology AI Safety, an End-to-end lifecycle approach) framework ensures a comprehensive strategy, covering the AI lifecycle from pre- to post-deployment.
Emphasizing regulatory compliance and ethics for accuracy, fairness, and trust, the framework advocates integrating quality, safety, and monitoring mechanisms at the platform level. This spans pre-, peri-, and post-deployment stages, with rigorous validation and surveillance. Download our white paper to learn more about how RAISE accelerates responsible AI adoption, fostering trust among providers and patients.
Download our White Paper
Once you fill out the following form, you will receive an email.
Thank you
Oops! Something went wrong. Please refresh and try again.