Plain-English translation of NCT05732974 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are using machine learning — a type of artificial intelligence — to analyze medical information from lung cancer patients who have already had surgery. The goal is to build a tool that can predict which patients are at highest risk for their cancer coming back. This study will use data from two groups of patients: one group's information to train the computer model, and another group's information to test whether the model actually works.
After lung cancer surgery, some patients do well and never have problems again, while others experience recurrence. Doctors need better ways to identify which patients are at high risk so they can offer them extra monitoring or additional treatment to prevent the cancer from returning.
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Your participation will involve sharing your medical information — including your medical history, imaging scans, and pathology reports — with the research team. The researchers will use this data to help develop and test their computer model that predicts recurrence risk. You will not need to take any medication or undergo new procedures for this study; it mainly involves allowing the team to access and analyze information that has already been collected as part of your regular cancer care.
AI-generated summary from trial data · Jun 6, 2026 · Not medical advice
France