AI reads biopsies to spot Sjogren's syndrome
NCT ID NCT06437652
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested an artificial intelligence (AI) algorithm designed to analyze images of minor salivary gland biopsies to help diagnose Sjogren's syndrome. Researchers used 1,000 biopsy samples from patients with suspected Sjogren's to see if the AI could accurately count immune cells and measure gland tissue. The goal is to make diagnosis faster and more consistent, and to build a global platform for remote AI-assisted diagnosis.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence algorithm
- What this could lead to
- If successful, this AI could help doctors diagnose Sjogren's syndrome more accurately and quickly from biopsy samples.
- What could go wrong
- This is a completed validation study; the AI may not perform as well in real-world settings or on different types of images.
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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
Locations
-
Ying-Qian Mo
Guangzhou, Guangdong, 510120, China
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