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

NCT ID NCT07642401

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Aug 28, 2026 · Updated 3 times

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 12,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

May 2026

Expected to finish

Oct 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population comprises patients receiving routine esophageal cancer management at participating healthcare institutions, including those undergoing screening (e.g., endoscopy), diagnosis (imaging, pathology), treatment (endoscopic resection, surgery, chemotherapy, radiotherapy), and prognostic follow-up. Inclusion criteria: age ≥18 years, suspected or confirmed esophageal cancer, and available complete clinical data (endoscopy, imaging, pathology, and follow-up records). Exclusion criteria: incomplete data or refusal to use medical records. The population spans early to advanced stages to evaluate the AI model across the full disease spectrum.

Ages

18 to 90 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 1\. Aged 18 years or older. 2. Individuals with normal findings or inflammatory changes: endoscopic or pathological reports indicating "no significant abnormalities detected" or changes consistent with inflammation. 3\. Individuals with benign lesions: pathological reports specifying "absence of tumor cells" or a diagnosis consistent with benign lesions. 4\. Individuals with precancerous lesions: pathological reports with a definitive diagnosis of Low-grade Intraepithelial Neoplasia (LGIN) or High-grade Intraepithelial Neoplasia (HGIN). 5\. Individuals with malignant tumors: pathological reports confirming a diagnosis of esophageal squamous cell carcinoma or esophageal adenocarcinoma. Exclusion Criteria: * 1\. Diagnostically uncertain: Lack of definitive pathological evidence, or with doubtful clinical diagnosis. 2\. Poor data quality: Low-quality key imaging data (endoscopy, CT) that is unsuitable for analysis (e.g., severe artifacts, missing images). 3\. Severe missingness of key clinical or follow-up data (missing rate \> 20%). 4. Confounding by other malignancies: Presence of other active malignant tumors other than esophageal cancer within 5 years prior to enrollment. 5\. Loss to follow-up: Failure to obtain key survival or recurrence follow-up information in the retrospective cohort.

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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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    3 sites. The list below names each one and where it is.

  2. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

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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