Plain-English translation of NCT07251114 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This trial is testing whether artificial intelligence (AI) can help doctors more accurately diagnose early esophageal cancer by analyzing ultrasound images of the esophagus. Researchers will compare two groups: one where doctors use AI to help interpret the ultrasound scans, and another using standard diagnosis methods. The goal is to see if the AI tool helps doctors better understand how deeply the cancer has invaded the tissue, which is important for deciding on treatment.
Early esophageal cancer can be treated successfully if caught at the right stage, but accurately measuring how deep the cancer has invaded is challenging and affects treatment decisions. This trial aims to see if AI can improve diagnostic accuracy and help doctors give patients the best possible care.
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You will be randomly assigned to either the AI-assisted group or the standard diagnosis group. Both groups will undergo an endoscopic ultrasound examination, where a thin camera with an ultrasound probe is gently passed down your esophagus to take detailed images. The main difference is that the AI group's images will be analyzed with computer assistance to determine how deep any cancer has invaded. After the procedure, your results will be compared with the final pathology findings to measure accuracy.
AI-generated summary from trial data · Jun 10, 2026 · Not medical advice
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