AI teaching tool aims to boost breast cancer awareness among future nurses
NCT ID NCT07562321
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study compares an AI-supported flipped learning model to traditional teaching for 80 nursing students. The goal is to see if the AI approach improves their knowledge and hands-on skills in breast self-examination, a low-cost early detection method for breast cancer. Researchers will test students before and after training using a 20-question knowledge form and a skill checklist.
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 80 people
The number the study aims to enrol. It can still change while the study runs.
- Started
-
Mar 2026
- Expected to finish
-
May 2026
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
-
Children (under 18), adults (18 to 64) and older adults (65 and over)
- 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: * Being a second-year student in a nursing undergraduate program * Not having previously received breast examination training * Having signed the voluntary consent form Exclusion Criteria: * Having any health problem that would prevent continuing to work * Requesting to withdraw from work voluntarily
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Artifical intelligence are added.
Genom att skicka in godkänner du våra Användarvillkor
Conditions
The condition(s) this trial relates to.
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
-
Baskent University
RECRUITINGAnkara, Ankara, 06790, Turkey (Türkiye)
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can Game-Style feedback make AI nursing simulations stick?
- Can a 7-Week teaching overhaul make nursing students better learners?
- Can virtual reality teach kids to protect their hearts?
- Can AI fake a cell image well enough to fool a lab expert?
- AI chatbot may sharpen nurses' cancer care decisions
- Can a mentor program steady nursing students under pressure?