Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 5:01 PM
Ignite Modification Date:
2025-12-24 @ 5:01 PM
NCT ID:
NCT06507150
Brief Summary:
Migraine affects 1 in 7 people globally, significantly impacting quality of life and economic productivity. Despite its prevalence, limited awareness leads to misdiagnosis, inadequate treatment, and stigmatization. AI can enhance migraine management through improved diagnosis, prediction, and personalized education. The primary objective of this study is to determine if adding AI-assisted migraine education to standard education improves patients' understanding of their condition more effectively.
Detailed Description:
Migraine affecting approximately 1 in 7 individuals globally, significantly impacts quality of life and economic productivity due to its associated healthcare and social burdens. Despite its prevalence, awareness and understanding of migraine remain limited, contributing to misdiagnosis, inadequate treatment, and the perpetuation of stigmatization.
Artificial Intelligence (AI) may advance migraine management by improving diagnosis, prediction, and educational outreach. AI applications are currently being employed in diagnosing migraines more accurately by analyzing comprehensive patient data, thus differentiating migraine from other types of headaches. Additionally, AI algorithms predict migraine episodes, enabling preemptive measures. They also streamline medication management through reminders and monitor patient adherence, which is crucial for preventing medication overuse and optimizing treatment outcomes.
Moreover, AI can bridge the educational gap in migraine understanding. By using adaptive learning technologies, AI platforms can deliver personalized educational content, tailored to an individual's knowledge level and learning pace, enhancing understanding and engagement. This approach not only facilitates better management of the condition but also promotes a broader societal awareness essential for destigmatizing migraine.
The primary objective of this study is to ascertain if the addition of AI-assisted migraine education to standard migraine education yields a superior improvement in the patients' understanding of their condition.
Study:
NCT06507150
Study Brief:
Protocol Section:
NCT06507150