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247P Comparison of artificial intelligence based prediction models for immune checkpoint inhibitor related pneumonitis: A systematic review and meta-analysis of retrospective real-world cohort studies
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Previous studies have developed machine learning (ML) models to predict checkpoint inhibitor pneumonitis (CIP) in cancer patients. Prediction of CIP prior to commencing immune checkpoint inhibitor (ICI) therapy could guide clinical treatment decisions and reduce CIP fatalities. Hence, this systematic review focusses on studies with CIP prediction ML models developed from data prior to ICI initiation. We aim to compare model input criteria, including clinical data input and/or radiomic input, to quantitatively identify strong models for future clinical application.
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