AI for Onsite Cytology Evaluation in Endoscopic Ultrasound

Running, not enrolling

Conditions studied: Gastrointestinal Neoplasm, Mass Lesion

In brief

The aim of this study is to determine if the widely available artificial intelligence platform ChatGPT can accurately identify the abnormalities present on cytology specimens obtained at EUS-FNB of solid mass lesions in the gastrointestinal tract, in comparison with interpretation by cytopathologists as the gold standard.

Key facts

Study ID

NCT07228689

Run by

Orlando Health, Inc.

People needed

136

Starts

2025-11-17

Expected to finish

2026-12-01

Last updated by the study team

2026-06-30

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age 18 years old or greater
• Patients undergoing EUS-guided fine needle biopsy of solid mass lesions in the gastrointestinal tract

You may not qualify if…

• Age less than 18 years
• Patients not undergoing sampling of solid mass lesions at EUS
• Patients with cystic lesions in the gastrointestinal tract

Where it is running

• Orlando Health Digestive Health Institute — Orlando, Florida, United States

Full record on ClinicalTrials.gov

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