Artificial Intelligence for Prediction of Shunt Response in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

Journal: World neurosurgery
Published Date:

Abstract

BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of dementia, typically treated with shunt surgery, although outcomes vary. Artificial intelligence (AI) advancements could improve predictions of shunt response (SR) by analyzing extensive datasets.

Authors

  • Rafael Tiza Fernandes
    Imperial Brain & Spine Initiative, Imperial College London, London, United Kingdom; Department of Neurosurgery, ULS São José, Lisbon, Portugal.
  • Filipe Wolff Fernandes
    Imperial Brain & Spine Initiative, Imperial College London, London, United Kingdom; Department of Neurosurgery, Hannover Medical School, Hannover, Germany.
  • Mrinmoy Kundu
    Imperial Brain & Spine Initiative, Imperial College London, London, United Kingdom; Institute of Medical Sciences and SUM Hospital, Bhubaneswar, India.
  • Daniele S C Ramsay
    Imperial Brain & Spine Initiative, Imperial College London, London, UK.
  • Ahmed Salih
    William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, United Kingdom (A.S., A.M.L., Z.R.-E., S.E.P.).
  • Srikar N Namireddy
    Imperial Brain & Spine Initiative, Imperial College London, London, United Kingdom; Faculty of Medicine, Imperial College London, London, United Kingdom.
  • Dragan Jankovic
  • Darius Kalasauskas
    Department of Neurosurgery, University Medical Center Mainz, Langenbeckstraße 1, Mainz, Germany.
  • Malte Ottenhausen
    Department of Neurosurgery, University Medical Center Mainz, Mainz, Germany.
  • Andreas Krämer
    QIAGEN Digital Insights, 1001 Marshall Street,Redwood City, CA 94063, United States.
  • Florian Ringel
    Department of Neurosurgery, University Medical Center Mainz, Mainz, Germany.
  • Santhosh G Thavarajasingam
    Imperial Brain & Spine Initiative, Imperial College London, London, UK. santhoshgthava@gmail.com.