Can doctors trust AI to predict lung cancer outcomes?
NCT ID NCT06699615
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study asks 50 lung cancer doctors to review AI-generated explanations for patient prognosis and rate how trustworthy they seem. The goal is to see if a newer type of AI (neurosymbolic) is more trusted than standard methods. No patients are treated; the data is simulated. The results may guide future use of AI in cancer care.
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 could help doctors trust AI tools that predict how lung cancer will progress, potentially improving decision-making.
What could go wrong
This is a small survey with simulated data, not a clinical trial testing a treatment. Results may not apply to real-world settings.
Disclaimer
Read more
Show less
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.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for ONCOLOGY are added.
By submitting, you agree to our Terms of use
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.
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
University of Pennsylvania
Philadelphia, Pennsylvania, 19083, United States