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Artificialintelligence for thedetection of focalcortical dysplasia:Challenges intranslatingalgorithms intoclinical practice Lennart WalgerSophie AdlerKonrad Wagstyl2023 год

Artificial intelligence for the detection of focal cortical dysplasia: Challenges in translating algorithms into clinical practice
review

Полный текстСтраница публикацииПубликация в OpenAlex
Аннотация: Focal cortical dysplasias (FCDs) are malformations of cortical development and one of the most common pathologies causing pharmacoresistant focal epilepsy. Resective neurosurgery yields high success rates, especially if the full extent of the lesion is correctly identified and completely removed. The visual assessment of magnetic resonance imaging does not pinpoint the FCD in 30%-50% of cases, and half of all patients with FCD are not amenable to epilepsy surgery, partly because the FCD could not be sufficiently localized. Computational approaches to FCD detection are an active area of research, benefitting from advancements in computer vision. Automatic FCD detection is a significant challenge and one of the first clinical grounds where the application of artificial intelligence may translate into an advance for patients' health. The emergence of new methods from the combination of health and computer sciences creates novel challenges. Imaging data need to be organized into structured, well-annotated datasets and combined with other clinical information, such as histopathological subtypes or neuroimaging characteristics. Algorithmic output, that is, model prediction, requires a technically correct evaluation with adequate metrics that are understandable and usable for clinicians. Publication of code and data is necessary to make research accessible and reproducible. This critical review introduces the field of automatic FCD detection, explaining underlying medical and technical concepts, highlighting its challenges and current limitations, and providing a perspective for a novel research environment.
Год издания: 2023
Авторы: Lennart Walger, Sophie Adler, Konrad Wagstyl, Leonie Henschel, Bastian David, Valeri Borger, Elke Hattingen, Hartmut Vatter, Christian E. Elger, Torsten Baldeweg, Felix Rosenow, Horst Urbach, Albert J. Becker, Alexander Radbruch, Rainer Surges, Martin Reuter, Fernando Cendes, Irène Wang, Hans‐Jürgen Huppertz, Theodor Rüber
Издательство: Wiley
Источник: Epilepsia
Ключевые слова: Epilepsy research and treatment, Fetal and Pediatric Neurological Disorders, Advanced Neural Network Applications
Другие ссылки: Epilepsia (PDF)
Epilepsia (HTML)
pub.dzne.de (PDF)
pub.dzne.de (HTML)
UCL Discovery (University College London) (HTML)
UCL Discovery (University College London) (PDF)
UCL Discovery (University College London) (HTML)
PubMed (HTML)