AI reads scans and slides to outsmart stomach cancer
NCT ID NCT07454967
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested an artificial intelligence model that combines CT scans, digital pathology images, and patient history to improve diagnosis and risk prediction for gastrointestinal stromal tumors (GISTs). Researchers enrolled 300 patients with suspected stomach tumors. The AI aims to tell GISTs apart from other tumors, predict how aggressive they are, and guess genetic mutations—all without needing surgery. The results were compared to standard lab tests, but the AI's predictions were not shared with doctors, so it did not affect patient care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Multimodal AI Analysis System (GIST-RadPath-AI Model)
What this could lead to
If successful, this AI could help doctors diagnose GISTs more accurately without invasive surgery and predict tumor risk and genetic mutations to guide treatment.
What could go wrong
This is an early observational study with 300 participants, so the AI may not work as well in larger or more diverse groups. The results are blinded and not used in patient care, so real-world benefits are unproven.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Baoding Central Hospital
Baoding, Hebei, 071030, China
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Cangzhou People's Hospital
Cangzhou, Hebei, 061000, China
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Hengshui People's Hospital
Hengshui, Hebei, 053099, China
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Jinling Hospital
Nanjing, Jiangsu, 210002, China
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Renmin Hospital of Wuhan University
Wuhan, Hubei, 430065, China
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Shijiazhuang People's Hospital
Shijiazhuang, Hebei, 050011, China
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The Fifth Affiliated Hospital of Anhui Medical University
Fuyang, Anhui, 236003, China
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The First Affiliated Hospital of University of South China
Hengyang, Hunan, 421001, China
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The Second Affiliated Hospital of Xingtai Medical College
Xingtai, Hebei, 054000, China