MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1111/ene.70728

Медицинская библиотека · European journal of neurology · 2026

Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology.

Accorroni Alice, Wurm Raphael, Wiest Roland, Ienca Marcello, Bernard-Valnet Raphael, Sferruzza Giacomo, Marson Tony, Jurman Giuseppe, Teo James, Moro Elena, Nasr Nathalie, Malaguti Maria Chiara

СтатьяПеревод в очереди

Аннотация

BACKGROUND

Artificial intelligence (AI) is rapidly transforming clinical neurology, offering significant potential to enhance diagnosis, treatment, and disease management. Despite this transformative promise, AI adoption in neurology remains limited due to a lack of a reliable evidence base to support its use, as well as educational, ethical, methodological, and regulatory barriers. Furthermore, currently, there is no standardized educational framework for the application of AI in clinical neurology across Europe.

METHODS

To address this gap, the European Academy of Neurology (EAN) has established a dedicated multidisciplinary Task Force (TF) on AI in Clinical Neurology. This TF involves neurologists, neurology trainees, medical students, computer and data scientists, ethicists, patient representatives, and regulatory experts.

RESULTS

The AI TF has designed a modular curriculum covering technical AI foundations and models, clinical applications, ethical implications, and regulatory compliance. Planned educational resources include e-learning modules, podcasts, masterclasses, and interactive sessions at EAN congresses. Also, a recently conducted Europe-wide survey supported the TF in identifying current knowledge levels and educational and systemic barriers, informing the design of targeted interventions. In parallel, the TF will formulate recommendations addressing the ethical and regulatory implications of AI use in neurology, tailored to the specific needs of clinicians.

CONCLUSIONS

The EAN TF on AI in Clinical Neurology represents a strategic initiative to enable responsible AI integration through multidisciplinary collaboration. By closing educational gaps, establishing clear ethical standards, and facilitating stakeholder engagement, the TF aims to empower neurologists to confidently and ethically adopt AI technologies, ultimately improving patient care across Europe.

Для цитирования: Accorroni Alice, Wurm Raphael, Wiest Roland, Ienca Marcello, Bernard-Valnet Raphael, Sferruzza Giacomo, Marson Tony, Jurman Giuseppe, Teo James, Moro Elena, Nasr Nathalie, Malaguti Maria Chiara. Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology.. European journal of neurology. 2026. DOI: 10.1111/ene.70728.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.