Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine
<p>Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhancing diagnostic precision, and enabling personalized treatment. Machine learning and deep learning technologies improve seizure monitoring, automate EEG analysis, and facilitate tailored thera...
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2025
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| _version_ | 1864513537486880768 |
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| author | Majd A. AbuAlrob (22392505) |
| author2 | Adham Itbaisha (22392508) Boulenouar Mesraoua (16936932) |
| author2_role | author author |
| author_facet | Majd A. AbuAlrob (22392505) Adham Itbaisha (22392508) Boulenouar Mesraoua (16936932) |
| author_role | author |
| dc.creator.none.fl_str_mv | Majd A. AbuAlrob (22392505) Adham Itbaisha (22392508) Boulenouar Mesraoua (16936932) |
| dc.date.none.fl_str_mv | 2025-03-04T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.yebeh.2025.110327 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Unlocking_new_frontiers_in_epilepsy_through_AI_From_seizure_prediction_to_personalized_medicine/30353236 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Neurosciences Engineering Biomedical engineering Health sciences Health services and systems Artificial Intelligence Epilepsy Seizure Detection Personalized Medicine Machine Learning Deep Learning EEG Analysis Ethical Considerations Neurology Clinical Integration |
| dc.title.none.fl_str_mv | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhancing diagnostic precision, and enabling personalized treatment. Machine learning and deep learning technologies improve seizure monitoring, automate EEG analysis, and facilitate tailored therapeutic strategies, addressing the complexities of epilepsy management. However, challenges remain, including issues of model accuracy, interpretability, and applicability across diverse patient populations. Ethical considerations, such as safeguarding patient privacy, ensuring data security, and mitigating algorithmic bias, underscore the importance of responsible AI integration. Collaborative efforts among neurologists, data scientists, and regulatory authorities are critical to refining models, establishing ethical guidelines, and ensuring safe clinical adoption. This review examines AI’s transformative potential, its current limitations, and the multidisciplinary initiatives driving its effective implementation in epilepsy care.</p><h2>Other Information</h2> <p> Published in: Epilepsy & Behavior<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.yebeh.2025.110327" target="_blank">https://dx.doi.org/10.1016/j.yebeh.2025.110327</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0089859eb609bdc974ca945a1c27504c |
| identifier_str_mv | 10.1016/j.yebeh.2025.110327 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30353236 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicineMajd A. AbuAlrob (22392505)Adham Itbaisha (22392508)Boulenouar Mesraoua (16936932)Biomedical and clinical sciencesNeurosciencesEngineeringBiomedical engineeringHealth sciencesHealth services and systemsArtificial IntelligenceEpilepsySeizure DetectionPersonalized MedicineMachine LearningDeep LearningEEG AnalysisEthical ConsiderationsNeurologyClinical Integration<p>Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhancing diagnostic precision, and enabling personalized treatment. Machine learning and deep learning technologies improve seizure monitoring, automate EEG analysis, and facilitate tailored therapeutic strategies, addressing the complexities of epilepsy management. However, challenges remain, including issues of model accuracy, interpretability, and applicability across diverse patient populations. Ethical considerations, such as safeguarding patient privacy, ensuring data security, and mitigating algorithmic bias, underscore the importance of responsible AI integration. Collaborative efforts among neurologists, data scientists, and regulatory authorities are critical to refining models, establishing ethical guidelines, and ensuring safe clinical adoption. This review examines AI’s transformative potential, its current limitations, and the multidisciplinary initiatives driving its effective implementation in epilepsy care.</p><h2>Other Information</h2> <p> Published in: Epilepsy & Behavior<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.yebeh.2025.110327" target="_blank">https://dx.doi.org/10.1016/j.yebeh.2025.110327</a></p>2025-03-04T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.yebeh.2025.110327https://figshare.com/articles/journal_contribution/Unlocking_new_frontiers_in_epilepsy_through_AI_From_seizure_prediction_to_personalized_medicine/30353236CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/303532362025-03-04T06:00:00Z |
| spellingShingle | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine Majd A. AbuAlrob (22392505) Biomedical and clinical sciences Neurosciences Engineering Biomedical engineering Health sciences Health services and systems Artificial Intelligence Epilepsy Seizure Detection Personalized Medicine Machine Learning Deep Learning EEG Analysis Ethical Considerations Neurology Clinical Integration |
| status_str | publishedVersion |
| title | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| title_full | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| title_fullStr | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| title_full_unstemmed | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| title_short | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| title_sort | Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine |
| topic | Biomedical and clinical sciences Neurosciences Engineering Biomedical engineering Health sciences Health services and systems Artificial Intelligence Epilepsy Seizure Detection Personalized Medicine Machine Learning Deep Learning EEG Analysis Ethical Considerations Neurology Clinical Integration |