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The Coalition for Health AI (CHAI) Global Summit in Las Vegas focused on establishing a national network of AI assurance labs. Members discussed critical questions regarding the primary customers of these labs and the disclosure of conflicts of interest. Approximately 80 participants engaged in discussions about model validation and the financial responsibilities associated with it.
Key topics included who should pay for model validation, with suggestions that model developers might seek validation before FDA review. The summit highlighted the need for assurance labs to cater to diverse healthcare settings, including rural hospitals, and emphasized the importance of ongoing monitoring of AI algorithms. Participants also explored the potential for resource pooling among health systems to enhance AI validation efforts.
• CHAI is developing a national network of AI assurance labs.
• Discussions focused on funding models for AI model validation.
AI assurance labs are proposed facilities for validating AI models before deployment in healthcare.
Model validation ensures that AI algorithms perform accurately and reliably in clinical settings.
FDA review is a regulatory process that evaluates the safety and effectiveness of medical devices, including AI algorithms.
Duke University is a prominent academic institution involved in developing AI algorithms for healthcare applications.
Stanford University is known for its research in AI and healthcare, contributing to algorithm development.
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