Output Drift Detection in AI for Breast Cancer Prediction: A Multisite Clinical Decision Support System
Published:Dec 20, 2025 17:49
•1 min read
•ArXiv
Analysis
This research explores a crucial aspect of AI in healthcare: detecting output drift in a clinical decision support system. The study's focus on a multisite environment highlights the real-world complexities of deploying AI in medical settings.
Key Takeaways
- •Focuses on a critical problem: output drift in AI-powered healthcare.
- •Addresses the challenges of deploying AI across multiple clinical sites.
- •Utilizes an agent-based approach for drift detection.
Reference
“The research focuses on agent-based output drift detection for breast cancer response prediction within a multisite clinical decision support system.”