Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial.

Journal: Journal of the neurological sciences
Published Date: May 12, 2024

Abstract

INTRODUCTION: Hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH) is a key predictor of poor prognosis and potentially amenable to treatment. This study aimed to build a classification model to predict HE in patients with ICH using deep learning algorithms without using advanced radiological features.

Authors

  • Arooshi Kumar
    Rush University Medical Center, Department of Neurology, Chicago, IL 60612, United States of America. Electronic address: arooshi.kumar@gmail.com.
  • Jens Witsch
    Hospital of the University of Pennsylvania, Department of Neurology, Philadelphia, PA 19104, United States of America.
  • Jennifer Frontera
    NYU Langone Medical Center, Department of Neurology, New York, NY 10016, United States of America.
  • Adnan I Qureshi
    Zeenat Qureshi Stroke Institute, St. Cloud, Minnesota, USA.
  • Eric Oermann
    NYU Langone Medical Center, New York University, New York, NY, USA.
  • Shadi Yaghi
    Warren Alpert Medical School of Brown University, Department of Neurology, Providence, RI 02903, United States of America.
  • Kara R Melmed
    NYU Langone Medical Center, Department of Neurology, New York, NY 10016, United States of America; NYU Langone Medical Center, Department of Neurosurgery, New York, NY 10016, United States of America.

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