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NCT05018663

Artificial Intelligence (AI) Cytopathology Trial

Recruiting now Last updated 16 February 2023
What this trial tests

trial testing Artificial Intelligence software ROSE in Pancreatic Solid Lesions in 50 participants. Currently enrolling.

Timeline
21 July 2021
Primary endpoint
31 July 2024
30 January 2028

Quick facts

Lead sponsorThe University of Texas Health Science Center, Houston
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment50
Start date21 July 2021
Primary completion31 July 2024
Estimated completion30 January 2028
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

The University of Texas Health Science Center, Houston

Who can join

Adults 18 to 100, any sex, with Pancreatic Solid Lesions. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Purpose The primary objective of the study is to compare interpretation of EUS FNA/FNB samples for adequacy between ROSE and AI at bedside. To compare accuracy of preliminary diagnosis results between ROSE and AI at bedside versus final pathology report. Research design This is a prospective single center study to compare performance characteristics in the interpretation of EUS FNA/FNB samples between AI and ROSE. Procedures to be used Eligible patients will undergo EUS guided FNA/FNA of PSLs using standard of care. Sample slides are prepared by a cytopathologist at bedside and observed under a microscope. At the same time, the slides are scanned using a slide scanner and those images are saved for interpretation by AI at a later time.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Data sources for this page

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