The aim of this study is to develop and validate an artificial intelligence system named iEUS-PCL (intelligent endoscopic ultrasound system-pancreatic cystic lesions) for detecting and multimodal, multi-class diagnosing pancreatic cystic lesions (PCL) during endoscopic ultrasound (EUS) examination.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
The accuracy of iEUS-PCL for pancreatic cystic lesions
Timeframe: During procedure
The sensitivity of iEUS-PCL for pancreatic cystic lesions
Timeframe: During procedure
The specificicy of iEUS-PCL for pancreatic cystic lesions
Timeframe: During procedure
The postive predictive value of iEUS-PCL for pancreatic cystic lesions
Timeframe: During procedure
The negative predictive value of iEUS-PCL for pancreatic cystic lesions
Timeframe: During procedure