Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy.
Journal:
Studies in health technology and informatics
Published Date:
Jan 25, 2024
Abstract
Radiation therapy interruptions drive cancer treatment failures; they represent an untapped opportunity for improving outcomes and narrowing treatment disparities. This research reports on the early development of the X-CART platform, which uses explainable AI to model cancer treatment outcome metrics based on high-dimensional associations with our local social determinants of health dataset to identify and explain causal pathways linking social disadvantage with increased radiation therapy interruptions.