ATS 2024: Review of NEJM/JAMA/ATS Session
ICU Ed and Todd-Cast
Personalized Treatment Effects in Critically Ill Patients
Exploring the development and validation of an advanced model to assess individualized low versus high oxygen targets for mechanically ventilated critically ill adults, highlighting potential benefits of personalized treatment approaches based on specific patient characteristics and the significant mortality benefits observed. The chapter also delves into implementation challenges of AI and machine learning models in healthcare, emphasizing transparency, trust-building, and the overlap of informatics and implementation science.
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