Plain-English translation of NCT07088354 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building an artificial intelligence tool that can predict how well esophageal cancer patients will respond to combination immunotherapy and chemotherapy before surgery. The study will analyze CT scan images and medical information from 300 patients who already received this treatment, to help identify patterns that show whether the cancer completely disappeared. If successful, this AI model could help doctors personalize treatment plans for future patients with esophageal cancer.
Currently, doctors cannot easily predict which patients will have a complete response to this medication before surgery happens. This tool could help identify which patients benefit most from the treatment and which might need different approaches, allowing for more personalized care.
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This is a retrospective study, which means researchers will review your existing medical records and CT scan images that were already taken as part of your regular cancer care — you will not need to undergo new scans or treatments. Participation involves allowing the research team to access your chest CT images from before and after your immunochemotherapy, along with your clinical data, so they can develop and test their artificial intelligence model.
AI-generated summary from trial data · Jun 4, 2026 · Not medical advice
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