Plain-English translation of NCT07059923 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building an artificial intelligence tool that analyzes CT scan images to predict how well lung cancer patients will respond to immunotherapy and how long they may survive. The study will collect CT images taken before immunotherapy treatment begins (and possibly after treatment) from about 400 lung cancer patients at a hospital in Wuhan, China. The AI tool will learn patterns from these images that help doctors understand which patients are most likely to benefit from this type of treatment.
Immunotherapy works very well for some lung cancer patients but not for others, and doctors currently have limited ways to predict who will benefit before starting treatment. This research aims to fill that gap by using artificial intelligence to find hidden patterns in CT images that reveal which patients are most likely to respond well to the treatment.
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If you join this study, researchers will review your CT scan images taken before you started immunotherapy treatment. The study may also collect follow-up scans after your treatment begins. You are not receiving any new medication or undergoing any new procedures—the researchers are simply analyzing medical images and clinical information you already have from your regular cancer care to help build and test their artificial intelligence tool.
AI-generated summary from trial data · Jun 30, 2026 · Not medical advice
China
Sponsor
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Enrollment target
~400 participants
Started
July 2025
Primary completion
August 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years and older
Last updated on clinicaltrials.gov in July 2025.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Lian Yang
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.