AI breast cancer survival model could improve accuracy and personalize care

AI Summary

University of Cincinnati Cancer Center researchers describe a breast cancer survival model that combines statistical methods with deep learning. The model aims to improve survival estimates and help physicians personalize care decisions.

New University of Cincinnati Cancer Center research published in the Journal of Statistical Theory and Practice describes the potential for a more robust and accurate breast cancer survival model that combines statistical methods with a deep learning framework. The goal is to give physicians a better tool to make personalized care decisions for each patient.