Radiomics, machine learning, and deep learning for hippocampal sclerosis identification: a systematic review and diagnostic meta-analysis.

Journal: Epilepsy & behavior : E&B
Published Date: Jul 29, 2025

Abstract

PURPOSE: Hippocampal sclerosis (HS) is the primary pathological finding in temporal lobe epilepsy (TLE) and a common cause of refractory seizures. Conventional diagnostic methods, such as EEG and MRI, have limitations. Artificial intelligence (AI) and radiomics, utilizing machine learning and deep learning, offer a non-invasive approach to enhance diagnostic accuracy. This study synthesized recent AI and radiomics research to improve HS detection in TLE.

Authors

  • João Marcelo Baptista
    Department of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
  • Leonardo O Brenner
    Departament of Medicine, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil.
  • João Victtor Koga
    Brazilian Institute of Capital Markets, São Paulo, São Paulo, Brazil.
  • Victor A Ohannesian
    Department of Medicine, Albert Einstein Israeli Faculty of Health Sciences, São Paulo, São Paulo, Brazil.
  • Leonardo A Ito
    Department of Medicine, State University of Maringa, Maringá, Paraná, Brazil.
  • Paulo H Nabarro
    Department of Medicine, State University of Maringa, Maringá, Paraná, Brazil.
  • Lucas P Santos
    Department of Medicine, State University of Maringa, Maringá, Paraná, Brazil.
  • Arthur Henrique
    Department of Medicine, State University of Maringa, Maringá, Paraná, Brazil.
  • Gustavo de Oliveira Almeida
    Department of Medicine, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil.
  • Lorran U Berbet
    Department of Medicine, State University of Maringa, Maringá, Paraná, Brazil.
  • Thiago Paranhos
    Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Vitor Nespoli
    Department of Neurological Surgery, Rush University Medical Center, Illinois, Chicago, USA.
  • Raphael Bertani
    University of São Paulo, São Paulo, São Paulo , Brazil.

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