AI-assisted Migraine Education: Efficacy, Safety and Patients' Acceptance

March 11, 2026 updated by: Chiara Zecca, Ente Ospedaliero Cantonale, Bellinzona
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.

Study Overview

Status

Recruiting

Conditions

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 Type

Interventional

Enrollment (Estimated)

140

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Lugano, Switzerland
        • Recruiting
        • Ente Ospedaliero Cantonale - Ospedale Regionale di Lugano
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • aged between 18 and 65 years at the time of signing the informed consent
  • Newly diagnosis of migraine, confirmed through the medical chart
  • The participant must be capable of giving signed informed consent
  • Access to a laptop, computer, smartphone, or tablet

Exclusion Criteria:

  • Insufficient knowledge of the protocol language (italian)
  • Patients with cognitive impairment and/or unable to use or access the AI-powered learning platform developed in this study.
  • Vulnerable participants (e.g. minors, participants incapable of judgment or participants under tutelage)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AIME - AI-assisted migraine education
Intervention group: it receives AI-assisted migraine education in addition to standard migraine education
AIME Group will undergo the established migraine education plus AI-assisted education.
No Intervention: SME -Standard Migraine Education
Control group: it receives standard migraine education only

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Time Frame: 3 months
Difference in the proportion of correct responses to a set of 20 migraine-related questions via the Migraine Intel Quotient test score (MiQ score) between Standard Migraine Education (SME Group) and the AI-assisted migraine education added to Standard Migraine Education (AIME group) at 3 months after baseline.
3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Investigate if the two types of educations have persistent effect over time up to 6 months.
Time Frame: 6 months
To assess changes in the MiQ score from baseline to 3 months and to 6 months, and from 3 months to 6 months in the SME group and AIME group.
6 months
Evaluate the participants' subjective perception of each education experience
Time Frame: 6 months
To report patients' evaluation of learning experience at 3 and 6 months after baseline in both SME and AIME groups by 10 Visual Analog Scale (VAS) scoring, and comparison between groups at each timepoint
6 months
Investigate migraine clinical course following either education interventions
Time Frame: 6 months
To assess changes in the number of monthly migraine days, migraine intensity, and migraine duration as well as the HIT-6 and MIDAS scores at 3 and 6 months after baseline in SME and AIME groups, and between SME and AIME groups at each time point.
6 months
Evaluate the frequency and the quality of adverse events (AEs) occurring during education interventions
Time Frame: 6 months
To describe frequency and type of AEs occurring during the study period in SME and AIME groups.education interventions
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2024

Primary Completion (Estimated)

June 1, 2027

Study Completion (Estimated)

June 1, 2027

Study Registration Dates

First Submitted

July 4, 2024

First Submitted That Met QC Criteria

July 11, 2024

First Posted (Actual)

July 18, 2024

Study Record Updates

Last Update Posted (Actual)

March 12, 2026

Last Update Submitted That Met QC Criteria

March 11, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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