A Mobile App With AI Personalization to Help Young People With Epilepsy
Tests an AI-personalized medication app against a standard version in young people with epilepsy.
Plain-language title generated from the registry record
Registry title: AI-Based Mobile Intervention on Medication Non-Adherence and Transition
Key facts
- Where
- Orlando, United StatesSee the 2 sites
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 14 and 24 years old?
Source: NCT07445074, who can take part
Where in United States
- Orlando Health Arnold Palmer HospitalOrlando, United StatesTaking people
- Orlando Health Orlando Regional Medical CenterOrlando, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- University of Central Florida
- Trial code
- NCT07445074
- Record updated
- 29 May 2026
- Original description
This study aims to examine whether the AI-personalized version of the Medilepsy® app is more effective than the non-AI (standard version without AI personalization) can improve key outcomes, such as medical adherence and transition readiness, among underserved adolescents and young adults with epilepsy, ages 14-24, in Florida, USA.Read full original descriptionShow less
AI-Based Mobile Intervention on Medication Non-Adherence and Transition
This study aims to examine whether the AI-personalized version of the Medilepsy® app is more effective than the non-AI (standard version without AI personalization) can improve key outcomes, such as medical adherence and transition readiness, among underserved adolescents and young adults with epilepsy, ages 14-24, in Florida, USA.
Outcomes are organized into primary (effectiveness), secondary (usability), and exploratory (language experience) endpoints.
Inclusion: Diagnosed with epilepsy; Currently prescribed anti-seizure medicine (ASMs); Identified as part of an underserved population, defined as meeting at least one of the following: member of a racial or ethnic group historically underrepresented in research or healthcare or low-income status (e.g., eligible for public assistance or government-subsidized health coverage); Are between 14-17 years old and able to provide assent, with a parent or LAR present to receive app notifications throughout the study; Are between 18-24 years old and able to provide informed consent; Able to read, speak, and write in English; Resides in Florida; Receive outpatient medical services.
Exclusion: They have a history of severe intellectual disability; They do not own a mobile device with internet access; They are unable to operate a mobile device (keyboard or touchscreen); Reside in an in-patient setting; Adults unable to consent; Pregnant women (excluded because pregnancy is not relevant to the study focus); Prisoners.