Does seeing a doctor shake your trust in AI? new study investigates
NCT ID NCT07631585
First seen Jun 23, 2026 · Last updated Jun 23, 2026
Summary
This study tracks 180 orthopedic patients in Cyprus to see if a single doctor visit changes how much they trust AI health information. Patients fill out surveys before and after their appointment, and doctors also report on the accuracy of any AI advice patients brought up. The goal is to understand how real-life medical consultations influence trust in AI and reduce anxiety.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Near East University Hospital - Orthopedic Outpatient Clinic
RECRUITINGNicosia, Cyprus
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University of Kyrenia, Dr. Suat Gunsel Hospital - Orthopedic Outpatient Clinic
RECRUITINGKyrenia, Cyprus
Contact Email: •••••@•••••
Contact
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this study could reveal how doctor visits affect trust in AI health advice, helping improve patient-doctor communication.
What could go wrong
This is an observational study with no treatment, so it won't directly improve health. Results may not apply to other medical fields or populations.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.