AI and community input join forces to make research easier to understand
NCT ID NCT07788898
First seen Aug 27, 2026 · Last updated Sep 03, 2026 · Updated 3 times
Summary
This trial tests whether artificial intelligence can help create plain-language summaries of research studies that people find clearer and more trustworthy. Researchers and community members will work together to refine AI-generated summaries, and then compare them against summaries made with standard methods. The study enrolls English-speaking adults and measures confidence in research, understanding, and AI literacy. The goal is to see if co-creating summaries with community input improves how people relate to science.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Community co-created AI summaries, researcher prompt engineering, and standard AI prompts
- What this could lead to
- If it works, this approach could make research findings clearer and more trustworthy for the public, and give communities a stronger voice in how science is communicated.
- What could go wrong
- This is an early-stage behavioral study, not a treatment trial. The outcomes rely on self-reported confidence and understanding, which may not reflect real-world impact. AI summaries could also introduce errors or bias if not carefully reviewed.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
-
Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
-
About 250 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
-
Oct 2026
An estimate. Start dates often move.
- Expected to finish
-
Sep 2028
An estimate. End dates often move.
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
-
18 years and older
- Sex
-
Anyone
- Healthy volunteers
-
Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * English-speaking individuals at least 18 years of age Exclusion Criteria: * Individuals unable to provide informed consent * Participants who have had formal training in AI prompt engineering The eligibility criteria are common to both Aims 2 and 3.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Ai literacy are added.
By submitting, you agree to our Terms of use
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
-
The places running it
1 site. The list below names each one and where it is.
-
The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
-
A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
-
Albert Einstein College of Medicine
The Bronx, New York, 10461, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Game on: can playing a video game inoculate young minds against diet myths?
- A new curriculum aims to cut medication risks in older adults
- Can a simple 'Teach-Back' method close the breast cancer knowledge gap?
- A 45-Minute lesson could sharpen Students' minds and sleep
- Can a Six-Week classroom program boost Kids' health smarts?
- New tool aims to boost lung cancer trial enrollment