Using artificial intelligence to improve endoscopic ultrasound for pancreatic diseases

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to evaluate the effectiveness of an artificial intelligence system in detecting pancreatic abnormalities during endoscopic ultrasound (EUS) procedures. EUS allows for detailed visualization of the pancreas and surrounding organs, aiding in the diagnosis of conditions like pancreatic cancer. The study will assess whether the AI can accurately identify abnormalities that trained endoscopists also recognize, potentially leading to a platform that enhances diagnostic accuracy and reduces the learning curve for practitioners. By correlating AI findings with expert evaluations, the research seeks to minimize human error in interpreting ultrasound images.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age ≥ 18 years
* Any patient undergoing endoscopic ultrasound examination

Exclusion Criteria:

* Age \< 18 years

Where it's running

• Orlando Health
  Orlando, Florida, United States Recruiting

Study contacts

• Principal investigator: Shyam Varadarajulu, MD — Orlando Health, Digestive Health Institute
• Study coordinator: Shyam Varadarajulu, MD
• Email: shyam.varadarajulu@orlandohealth.com
• Phone: 321-841-2431

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.