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AI takes on esophageal cancer: could it spot the disease earlier?

NCT ID NCT07642401

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: The First Affiliated Hospital of Henan University of Science and Technology Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether an artificial intelligence (AI) model can help doctors better detect, diagnose, and treat esophageal cancer. Researchers will feed de-identified data from 12,000 patients receiving routine care into the AI and compare its recommendations to standard care over three years. The goal is to see if the AI can improve early detection rates and treatment personalization.

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 could show that AI helps doctors catch esophageal cancer earlier and choose better treatments, potentially improving survival rates.
What could go wrong
This is an observational study, not a controlled trial, so results may not prove cause and effect. The AI model may not work as well in real-world settings or for all patient groups.

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.

benign neoplasm of esophagus esophageal adenocarcinoma esophageal cancer Esophageal Neoplasms esophageal squamous cell carcinoma esophagitis precancerous condition

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ESOPHAGEAL CANCER

Contacts and locations

Locations

  • Anyang Tumor Hospital

    Anyang, Henan, 455000, China

  • Nanyang Central Hospital Medical Ethics Committee

    Nanyang, Henan, 473000, China

  • The First Affiliated Hospital of Henan University of Science & Technology

    Luoyang, Henan, 471000, China

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