Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation.

Journal: Journal of medical Internet research
PMID: 40354107

Abstract

BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic zone (EZ) is an effective treatment to control seizures. Accurate localization of the EZ is crucial and is typically achieved through comprehensive presurgical approaches such as seizure semiology interpretation, electroencephalography (EEG), magnetic resonance imaging (MRI), and intracranial EEG (iEEG). However, interpreting seizure semiology is challenging because it heavily relies on expert knowledge. The semiologies are often inconsistent and incoherent, leading to variability and potential limitations in presurgical evaluation. To overcome these challenges, advanced technologies like large language models (LLMs)-with ChatGPT being a notable example-offer valuable tools for analyzing complex textual information, making them well-suited to interpret detailed seizure semiology descriptions and accurately localize the EZ.

Authors

  • Yaxi Luo
    Department of Computer Science, Schaefer School of Engineering & Science, Stevens Institute of Technology, Hoboken, NJ, United States.
  • Meng Jiao
    Department of Systems and Enterprises, Schaefer School of Engineering & Science, Stevens Institute of Technology, Hoboken, NJ, United States.
  • Neel Fotedar
    School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
  • Jun-En Ding
    Department of Systems and Enterprises, Schaefer School of Engineering & Science, Stevens Institute of Technology, Hoboken, NJ, United States.
  • Ioannis Karakis
    Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States.
  • Vikram R Rao
    Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
  • Melissa Asmar
    Department of Neurology, University of California, Davis, Davis, CA, United States.
  • Xiaochen Xian
    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
  • Orwa Aboud
    Department of Neurology and Neurological Surgery, University of California, Davis, Davis, CA, United States.
  • Yuxin Wen
    Fowler School of Engineering, Chapman University, Orange, CA, United States.
  • Jack J Lin
    Department of Neurology, University of California, Davis, Davis, CA, United States.
  • Fang-Ming Hung
    Center of Artificial Intelligence, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
  • Hai Sun
    Department of Neurosurgery, Robert Wood Johnson University Hospital, New Brunswick, New Jersey.
  • Felix Rosenow
    Department of Neurology, Epilepsy Center Frankfurt Rhine-Main, Goethe University Frankfurt, Frankfurt am Main, Germany.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.

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