Machine Learning for Precision Epilepsy Surgery

Brain surgery offers the best chance of seizure-freedom for patients with focal drug-resistant epilepsy, but only 50% achieve sustained seizure-freedom. With the explosion of data collected during routine presurgical evaluations and recent advances in computational science, we now have a tremendous...

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Detalles Bibliográficos
Autor principal: Jehi, Lara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Current Review in Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131569/
https://www.ncbi.nlm.nih.gov/pubmed/37122399
http://dx.doi.org/10.1177/15357597221150055
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author Jehi, Lara
author_facet Jehi, Lara
author_sort Jehi, Lara
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description Brain surgery offers the best chance of seizure-freedom for patients with focal drug-resistant epilepsy, but only 50% achieve sustained seizure-freedom. With the explosion of data collected during routine presurgical evaluations and recent advances in computational science, we now have a tremendous potential to achieve precision epilepsy surgery: a data-driven tailoring of surgical planning. This review highlights the clinical need, the relevant computational science focusing on machine learning, and discusses some specific applications in epilepsy surgery.
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spelling pubmed-101315692023-04-27 Machine Learning for Precision Epilepsy Surgery Jehi, Lara Epilepsy Curr Current Review in Clinical Research Brain surgery offers the best chance of seizure-freedom for patients with focal drug-resistant epilepsy, but only 50% achieve sustained seizure-freedom. With the explosion of data collected during routine presurgical evaluations and recent advances in computational science, we now have a tremendous potential to achieve precision epilepsy surgery: a data-driven tailoring of surgical planning. This review highlights the clinical need, the relevant computational science focusing on machine learning, and discusses some specific applications in epilepsy surgery. SAGE Publications 2023-01-18 /pmc/articles/PMC10131569/ /pubmed/37122399 http://dx.doi.org/10.1177/15357597221150055 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Current Review in Clinical Research
Jehi, Lara
Machine Learning for Precision Epilepsy Surgery
title Machine Learning for Precision Epilepsy Surgery
title_full Machine Learning for Precision Epilepsy Surgery
title_fullStr Machine Learning for Precision Epilepsy Surgery
title_full_unstemmed Machine Learning for Precision Epilepsy Surgery
title_short Machine Learning for Precision Epilepsy Surgery
title_sort machine learning for precision epilepsy surgery
topic Current Review in Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131569/
https://www.ncbi.nlm.nih.gov/pubmed/37122399
http://dx.doi.org/10.1177/15357597221150055
work_keys_str_mv AT jehilara machinelearningforprecisionepilepsysurgery

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