This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
This protocol supports the reliable development and improvement of Artificial Intelligence (AI)-based applications by enabling training, verification, and validation using high-quality real clinical data. It also aims to enhance machine learning in developmental-use AI software. In addition, the professional user simulated use will ensure correct and easy use of the AI applications.
Multicenter Data Collection and Simulated-Use Assessment for CHLOE
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.
| Inclusion Criteria | Exclusion Criteria |
|---|---|
|
|
Sponsor: Fairtility
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.