Yale’s Cavallo on AI Post-Deployment Monitoring and Training Balance

To manage AI discrepancies, Yale radiology uses one-click feedback to vendors and macros to explain false positives in reports, while balancing clinical skills and AI literacy in residency training.

• Dr. Cavallo sees AI enhancing reading room efficiency, including reducing protocol burden, optimizing scheduling, and forecasting demand.
• A dedicated informatics course ensures residents gain data literacy and IT skills for AI-augmented practice.
• The feedback system and report macros help track AI disagreements and clear up confusion when referring providers see AI alerts in PACS.

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