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Author profile
Beiqian Qi
Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center
Is Your AI Drifting? an Agentic Continuous Performance Monitoring System for Autosegmentation
While deep learning autosegmentation models are widely integrated into clinical workflows in radiation oncology, a critical gap has emerged: the "static deployment" trap. Once deployed, model performance can deteriorate due to real-world data evolution, makin...
Proffered Program · Therapy Physics
Aspect: Explainable AI for Clinical Awareness of Autosegmentation Failure Risk
AI-based autosegmentation is widely used in radiation oncology to improve efficiency and consistency; however, these models may silently fail when applied to cases that deviate from their training distribution, placing responsibility on clinicians to detect u...
Proffered Program · Therapy Physics