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IDEAL approach to the evaluation of machine learning technology in epilepsy surgery: protocol for the MAST trial

Authors

  • Aswin Chari Department of Neurosurgery, Great Ormond Street Hospital, London, UKDevelopmental Neuroscience, Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  • Sophie Adler Department of Neurosurgery, Great Ormond Street Hospital, London, UKDevelopmental Neuroscience, Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  • Konrad Wagstyl Wellcome Centre for Human Neuroimaging, University College London, London, UK PubMed articlesGoogle scholar articles
  • Kiran Seunarine Department of Neurosurgery, Great Ormond Street Hospital, London, UKDevelopmental Neuroscience, Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  • Hani Marcus Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UKWellcome EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK PubMed articlesGoogle scholar articles
  • Torsten Baldeweg Developmental Neuroscience, Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  • Martin Tisdall Department of Neurosurgery, Great Ormond Street Hospital, London, UKDevelopmental Neuroscience, Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Aswin Chari; aswin.chari.18{at}ucl.ac.uk
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Citation

Chari A, Adler S, Wagstyl K, et al
IDEAL approach to the evaluation of machine learning technology in epilepsy surgery: protocol for the MAST trial

Publication history

  • Received August 10, 2021
  • Accepted January 10, 2022
  • First published January 27, 2022.
Online issue publication 
January 27, 2022

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