The American College of Radiology AI registry will collect and monitor data on AI performance, enabling practices to compare results against national benchmarks for quality care.
The Assess-AI program allows AI developers to report real-world algorithm performance, enhancing AI tools through data-driven insights, ensuring safety and effectiveness of technology.
Dr. Christoph Wald emphasized, 'Users of AI technology in radiological care need to ensure algorithms perform sufficiently in their local environment,' underlining the significance of localized performance.
Dr. Woojin Kim stated, 'AI is seen as an essential tool to help bridge the gap,' highlighting its role in meeting growing radiology demands while maintaining care standards.
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