Machine Learning to Predict Prostate Artery Embolization Outcomes.

Journal: Cardiovascular and interventional radiology
PMID: 38896298

Abstract

PURPOSE: This study leverages pre-procedural data and machine learning (ML) techniques to predict outcomes at one year following prostate artery embolization (PAE).

Authors

  • G Vigneswaran
    Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.
  • N Doshi
    Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.
  • D Maclean
    Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.
  • T Bryant
    Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.
  • M Harris
    Department of Urology, University Hospital Southampton, Southampton, UK.
  • N Hacking
    Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.
  • K Farrahi
    Department of Electronics and Computer Science, University of Southampton, Southampton, UK.
  • M Niranjan
    Department of Electronics and Computer Science, University of Southampton, Southampton, UK.
  • S Modi
    Department of Interventional Radiology, University Hospital Southampton, Southampton, UK. sachin.modi@uhs.nhs.uk.

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