Elevator Pitch: Machine Learning to Predict Individualized Oxygenation Targets

In this episode of the Elevator Pitch, brought to you by the ATS Critical Care Assembly, we talk to Dr. Kevin Buell about his work using machine learning to predict optimal oxygenation targets for critically ill patients. Host: Divya Shankar, MD, Boston University Guest: Kevin Buell, MBBS, University of Chicago 00:00 Introduction to the Podcast00:31 Meet Dr. Kevin Buell01:37 Dr. Buell's Research Interests02:08 Elevator Pitch: Oxygen Targets Study03:08 Study Methodology and Results05:08 Limitations and Machine Learning07:08 Model Validation and Application16:19 Future of Machine Learning in Medicine17:48 Conclusion and Takeaways19:13 Closing Remarks