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.
The goal of this clinical trial is to assess the use of a generative artificial intelligence large language model chatbot in improving decision making factors in patients with hip and knee osteoarthritis. The main questions it aims to answer are: Does the use of an artificial intelligence chatbot have an effect on decisional conflict and anxiety related to decision making? Are changes in decisional conflict correlated with changes in patient reported outcomes? Are changes in decisional conflict correlated with health literacy? Participants will interact with an artificial intelligence chatbot prior to their clinic visit with an orthopaedic surgeon, using a structured prompt.
CHAT-OA: Conversations in Health Literacy Using AI Technology for Osteoarthritis Patients
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.
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Sponsor: University of California, Davis
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.