Real-Time Application of a Validated Artificial Intelligence Model During Digital Per-Oral Pancreatoscopy for Identification of Pancreatic Neoplastic Lesions and IPMN: A Prospective Pilot Diagnostic Accuracy Study

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Record identity and dates

Source

ClinicalTrials.gov

Source record ID

NCT07809841

Title field or adapter rule

{'original_value': 'Real-Time Application of a Validated Artificial Intelligence Model During Digital Per-Oral Pancreatoscopy for Identification of Pancreatic Neoplastic Lesions and IPMN: A Prospective Pilot Diagnostic Accuracy Study', 'source_field': 'protocolSection.identificationModule.officialTitle'}

Ingested At

2026-10-31T23:27:26.394138+00:00

Published At

2026-09-09T00:00:00+00:00

Record Updated At

2026-09-09

Source Retrieved At

2026-10-31T22:17:58.991924+00:00

Timestamp Basis

ClinicalTrials.gov API/RSS response retrieval timestamp recorded by Dossier adapter

Date limitation

ClinicalTrials.gov API/RSS response retrieval timestamp recorded by Dossier adapter

Fields recorded by this source

protocolSection.conditionsModule.conditions

["Intraductal Papillary Mucinous Neoplasm of Pancreas", "Pancreatic Neoplasms"]

protocolSection.statusModule.lastUpdatePostDateStruct

{"date": "2026-09-09", "type": "ACTUAL"}

protocolSection.identificationModule.nctId

"NCT07809841"

protocolSection.identificationModule.officialTitle

"Real-Time Application of a Validated Artificial Intelligence Model During Digital Per-Oral Pancreatoscopy for Identification of Pancreatic Neoplastic Lesions and IPMN: A Prospective Pilot Diagnostic Accuracy Study"

protocolSection.statusModule.overallStatus

"NOT_YET_RECRUITING"

protocolSection.designModule.phases

null

protocolSection.statusModule.resultsFirstPostDateStruct

null

Study condition terms

• Intraductal Papillary Mucinous Neoplasm of Pancreas (protocolSection.conditionsModule.conditions)
• Pancreatic Neoplasms (protocolSection.conditionsModule.conditions)

Interventions recorded in this study

• {'armGroupLabels': ['Digital POPS'], 'description': 'A previously validated artificial intelligence model developed for digital cholangioscopy will be applied in real time to digital per-oral pancreatoscopy video without modification of its model weights. The system provides real-time visual detection and localization of suspected pancreatic duct abnormalities during pancreatoscopy. The AI assessment will be performed after the endoscopist has completed and locked the initial visual assessment. AI findings will be recorded as an index diagnostic test and will not independently determine tissue sampling, treatment, surgery, or other clinical management.', 'name': 'AIWorks-Cholangioscopy Real-Time Artificial Intelligence Model', 'type': 'DIAGNOSTIC_TEST'} (protocolSection.armsInterventionsModule.interventions[])

An intervention appearing in a study record does not establish an effect or an approved use.

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