Join us on October 30th for another exciting talk in our Fall 2024 CTML Seminar Series! Jean Feng's talk "Towards a Post-Market Monitoring Framework for Machine Learning-Based Medical Devices" will take place at 11:00AM at Berkeley Way West, 5th Floor, Room 5401.
After a machine learning (ML)-based system is deployed in clinical practice, performance monitoring is widely recognized to be a crucial component to ensuring the safety and effectiveness of the algorithm over time. Nevertheless, designing an effective monitoring strategy is highly complex given the multitude of design decisions, including the data source (e.g. observational versus interventional data), the performance criteria tracked, the assumptions required by the procedure, and more. After reviewing existing approaches to designing clinical AI monitoring systems, we discuss the need for a systematic framework for designing post-market monitoring systems, the unique considerations in this setting, and the importance of causal thinking.