Machine Learning to Predict Prostate Artery Embolization Outcomes.

Ganesh VigneswaranN DoshiDrew Maclean Timothy J C Bryant Mark HarrisN HackingKatayoun Farrahi Mahesan Niranjan Sachin Modi

Published in: Cardiovascular and interventional radiology (2024)

This study uses ML methods to predict IPSS improvement at 1 year, integrated into a user-friendly interface for real-time prediction. This tool could be used to counsel patients prior to treatment.

Keyphrases

machine learning
end stage renal disease
prostate cancer
ejection fraction
chronic kidney disease
newly diagnosed
peritoneal dialysis
prognostic factors
patient reported outcomes
skeletal muscle
metabolic syndrome
patient reported
weight loss