{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:42:19Z","timestamp":1786977739255,"version":"build-2736575974"},"reference-count":138,"publisher":"Wiley","license":[{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Epilepsia Open"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across various fields, including neuroscience research. AI can assist in the acquisition and analysis of data throughout the experimental process. Currently, the integration of AI techniques, including machine learning (ML), assumes an important role in preclinical epilepsy research. For analytical purposes, the techniques described in this review are categorized into three principal domains based on their objectives. Diagnosis involves identification, characterization, and\/or prediction of epileptic seizures utilizing experimental data such as EEG recordings. Identification of comorbidities associated with epilepsy using AI represents a significant advancement in preclinical research. This approach can lead to a comprehensive understanding of the interplay between epilepsy and related disorders. The treatment domain involves the utilization of ML models to conduct simulations and computational analyses to comprehend the underlying mechanisms of epilepsy, discern potential drug targets, and evaluate the efficacy of experimental medications, thereby facilitating the translation of discoveries into clinical settings. This paper aimed to present, explain, and scrutinize some of the AI techniques used in recent years within preclinical epilepsy research. Moreover, advantages, challenges, ethical considerations, reporting issues, and future perspectives will be discussed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Plain Language Summary<\/jats:title>\n                    <jats:p>Researchers study epilepsy using animal models to understand its mechanisms and develop novel therapeutic strategies. Artificial intelligence (AI) is becoming an important tool in this work, helping with data collection and analysis. In this critical review, AI techniques are grouped into three main areas: diagnosis of seizures, identification of health disorders associated with epilepsy, and exploration of new treatments. AI enables scientists to spot patterns in brain activity, find connections between epilepsy and other conditions, and test potential medications. This review also examines the advantages, challenges, and future of using AI in this field.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/epi4.70137","type":"journal-article","created":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T15:01:11Z","timestamp":1757689271000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1103-468X","authenticated-orcid":false,"given":"Jes\u00fas Servando","family":"Medel\u2010Matus","sequence":"first","affiliation":[{"name":"Department of Pediatrics Neurology Division, David Geffen School of Medicine at University of California Los Angeles  California Los Angeles USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9163-5615","authenticated-orcid":false,"given":"Cesar","family":"Santana\u2010Gomez","sequence":"additional","affiliation":[{"name":"Department of Neurology David Geffen School of Medicine at University of California Los Angeles  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruby G.","family":"Escalante","sequence":"additional","affiliation":[{"name":"Department of Pediatrics Neurology Division, David Geffen School of Medicine at University of California Los Angeles  California Los Angeles USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominique","family":"Duncan","sequence":"additional","affiliation":[{"name":"Laboratory of Neuro Imaging USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0861-8705","authenticated-orcid":false,"given":"Pedro F.","family":"Viana","sequence":"additional","affiliation":[{"name":"Institute of Psychiatry, Psychology and Neuroscience King's College London  London UK"},{"name":"Epilepsy Centre King's College Hospital NHS Foundation Trust  London UK"},{"name":"Centro de Estudos Egas Moniz Faculdade de Medicina, Universidade de Lisboa  Lisbon Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia Sofia","family":"Cereda","sequence":"additional","affiliation":[{"name":"Epilepsy Unit Fondazione IRCCS Istituto Neurologico Carlo Besta  Milan Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1977-4893","authenticated-orcid":false,"given":"Naoto","family":"Kuroda","sequence":"additional","affiliation":[{"name":"Department of Epileptology Tohoku University Graduate School of Medicine  Sendai Japan"},{"name":"Department of Pediatrics Wayne State University  Detroit Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0472-2903","authenticated-orcid":false,"given":"Aristea S.","family":"Galanopoulou","sequence":"additional","affiliation":[{"name":"Saul R. Korey Department of Neurology, Laboratory of Developmental Epilepsy, Isabelle Rapin Division of Child Neurology, Dominick P. 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