Deep learning for the diagnosis of mesial temporal lobe epilepsy.

Journal: PloS one
Published Date: Feb 23, 2023

Abstract

OBJECTIVE: This study aimed to enable the automatic detection of the hippocampus and diagnose mesial temporal lobe epilepsy (MTLE) with the hippocampus as the epileptogenic area using artificial intelligence (AI). We compared the diagnostic accuracies of AI and neurosurgical physicians for MTLE with the hippocampus as the epileptogenic area.

Authors

  • Kyoya Sakashita
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Yukinori Akiyama
    Department of Neurosurgery, Sapporo Medical University, Japan.
  • Tsukasa Hirano
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Ayaka Sasagawa
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Masayasu Arihara
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Tomoyoshi Kuribara
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Satoko Ochi
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Rei Enatsu
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Takeshi Mikami
    Department of Neurosurgery, Sapporo Medical University, Japan. Electronic address: tmikami@sapmed.ac.jp.
  • Nobuhiro Mikuni
    Department of Neurosurgery, Sapporo Medical University, Japan.

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