AI reads scans and genes to predict lung cancer drug success
NCT ID NCT07287904
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study uses artificial intelligence to analyze CT scans, pathology slides, and genetic reports from 1,000 lung cancer patients with EGFR mutations. The goal is to build a model that predicts how well targeted therapy will work after surgery. If successful, it could help doctors choose the best treatment for each patient.
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 AI model could help doctors better predict which lung cancer patients will benefit most from targeted therapy, leading to more personalized treatment.
- What could go wrong
- This is a retrospective study, meaning it looks back at past data, not a prospective trial. The AI model may not work as well in real-world settings or on new patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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
Locations
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Wuhan Union Hospital
Wuhan, Hubei, 430022, China
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