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An overview of clinical machine learning applications in neurology.
Smith, Colin M; Weathers, Allison L; Lewis, Steven L.
Afiliación
  • Smith CM; Lehigh Valley Fleming Neuroscience Institute, 1250 S Cedar Crest Blvd., Allentown, PA 18103, USA.
  • Weathers AL; Cleveland Clinic Information Technology Division, 9500 Euclid Ave. Cleveland, OH 44195, USA.
  • Lewis SL; Lehigh Valley Fleming Neuroscience Institute, 1250 S Cedar Crest Blvd., Allentown, PA 18103, USA. Electronic address: Steven_L.Lewis@lvhn.org.
J Neurol Sci ; 455: 122799, 2023 12 15.
Article en En | MEDLINE | ID: mdl-37979413
Machine learning techniques for clinical applications are evolving, and the potential impact this will have on clinical neurology is important to recognize. By providing a broad overview on this growing paradigm of clinical tools, this article aims to help healthcare professionals in neurology prepare to navigate both the opportunities and challenges brought on through continued advancements in machine learning. This narrative review first elaborates on how machine learning models are organized and implemented. Machine learning tools are then classified by clinical application, with examples of uses within neurology described in more detail. Finally, this article addresses limitations and considerations regarding clinical machine learning applications in neurology.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Personal de Salud / Neurología Idioma: En Revista: J Neurol Sci Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Personal de Salud / Neurología Idioma: En Revista: J Neurol Sci Año: 2023 Tipo del documento: Article