Choosing the Best Antiseizure Medication—Can Artificial Intelligence Help?

Antiseizure medications (ASMs) are the mainstay of epilepsy treatment. With more than 30 ASMs available for the treatment of epilepsy, neurologists and epileptologists have a more expansive armamentarium of pharmacological therapies than virtually any other branch of neurology. However, ASM selectio...

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Veröffentlicht in:Archives of neurology (Chicago) 2022-10, Vol.79 (10), p.970-972
Hauptverfasser: Chiang, Sharon, Rao, Vikram R
Format: Artikel
Sprache:eng
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Zusammenfassung:Antiseizure medications (ASMs) are the mainstay of epilepsy treatment. With more than 30 ASMs available for the treatment of epilepsy, neurologists and epileptologists have a more expansive armamentarium of pharmacological therapies than virtually any other branch of neurology. However, ASM selection in contemporary practice remains largely empirical and based on trial and error. Artificial intelligence (AI) has the power to learn from the experience of many and predict outcomes with unprecedented accuracy. Here, Chiang and Rao discuss the study by Hakeem et al which used a large, international database of adults with newly diagnosed epilepsy to evaluate how well state-of-the-art machine learning (ML) algorithms can predict the likelihood of seizure freedom with their first prescribed ASM.
ISSN:2168-6149
2168-6157
DOI:10.1001/jamaneurol.2022.2441