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Advanced Neurology Artificial intelligence in epilepsy education

Figure 1. Distribution of artificial intelligence-driven epilepsy education publications across various regions globally

in the digital age. 23,25,26 AI-enabled personalized learning education in epilepsy. The development of mobile health
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systems offer a potentially transformative educational applications is increasing, particularly to support chronic
strategy that utilizes advanced technology to benefit disease management, with a strong focus on epilepsy
individual students. Online education with AI assistants patients. These applications cover various aspects, including
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provides customized recommendations for monitoring stress management, drug side effect monitoring, patient
performances, suggesting relevant topics, and structuring education, and adherence promotion. They utilize simple
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individual learning programs. This approach addresses games and role-playing activities centered around epilepsy,
the drawbacks of traditional systems while fostering delivering essential information through interactivity
the development of academic and soft skills. AI-based and storytelling, which fosters better user engagement
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recommendation algorithms have proven effective in and encourages a respectful, tolerant community toward
personalizing teaching content, improving student epilepsy. 34
outcomes, and increasing satisfaction by recommending
These digital tools empower patients to take control of
appropriate content based on multi-dimensional their healthcare by allowing them to share health records
information, such as students’ interests and learning
histories. AI is increasingly integrated into CME and and emotional states with neurologists while receiving close
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training, offering significant potential to enhance learning support from dedicated care managers. For instance, the
outcomes and professional development for healthcare mobile application – ThinkNinja for Epilepsy – has provides
providers. AI’s ability to answer CME quiz questions cognitive behavioral therapy interventions to enhance
with high accuracy was demonstrated by a study where the quality of life and mental health of individuals with
AI completed 90% of quizzes with an 86% accuracy rate, epilepsy and anxiety, thereby improving overall well-being
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underscoring its capability in this domain. Integrating for those with comorbid anxiety or depression. Other
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AI into postgraduate training can enhance personalized applications, such as Epilepsy Journal, Seizure Tracker,
learning, provide real-time feedback, and assist in decision- Helpilepsy, and Seizure First Aid, help monitor seizures,
making processes for healthcare professionals. Beyond record medication intake, offer emergency treatment
CME, AI’s role in medical education includes delivering advice, and adjust dosage regimens. This functionality
personalized learning experiences and improving practical reduces risks associated with ASMs and promotes better
skills, as evidenced by improved outcomes in training labs patient compliance. 36
and other educational settings. 31,32
6. Revolutionizing epilepsy education:
5. Empowering epilepsy management AI-powered simulation-based learning
through mobile health applications and (SBL) and training modules for healthcare
gamification professionals
There is relative success in knowledge enhancement, Integrating AI into SBL will transform the training
medication compliance, and overall seizure control of healthcare professionals in epilepsy education. 37,38
through mobile applications and gamification for patient Management of epilepsy is highly individualized, making

Volume 4 Issue 3 (2025) 19 doi: 10.36922/an.4777