Artificial intelligence in pancreaticobiliary endoscopy

Venkata S. Akshintala; Mouen A. Khashab

doi:10.1111/jgh.15343

Artificial intelligence in pancreaticobiliary endoscopy

Venkata S. Akshintala, Mouen A. Khashab

School of Medicine

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Artificial intelligence (AI) applications in health care have exponentially increased in recent years, and a few of these are related to pancreatobiliary disorders. AI-based methods were applied to extract information, in prognostication, to guide clinical treatment decisions and in pancreatobiliary endoscopy to characterize lesions. AI applications in endoscopy are expected to reduce inter-operator variability, improve the accuracy of diagnosis, and assist in therapeutic decision-making in real time. AI-based literature must however be interpreted with caution given the limited external validation. A multidisciplinary approach combining clinical and imaging or endoscopy data will better utilize AI-based technologies to further improve patient care.

Original language	English (US)
Pages (from-to)	25-30
Number of pages	6
Journal	Journal of Gastroenterology and Hepatology (Australia)
Volume	36
Issue number	1
DOIs	https://doi.org/10.1111/jgh.15343
State	Published - Jan 2021

Keywords

Biliary
Endoscopy
Neoplasms < gastroenterology
Pancreas < gastroenterology
Pancreatobiliary (ERCP) < gastroenterology

ASJC Scopus subject areas

Hepatology
Gastroenterology

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10.1111/jgh.15343

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abstract = "Artificial intelligence (AI) applications in health care have exponentially increased in recent years, and a few of these are related to pancreatobiliary disorders. AI-based methods were applied to extract information, in prognostication, to guide clinical treatment decisions and in pancreatobiliary endoscopy to characterize lesions. AI applications in endoscopy are expected to reduce inter-operator variability, improve the accuracy of diagnosis, and assist in therapeutic decision-making in real time. AI-based literature must however be interpreted with caution given the limited external validation. A multidisciplinary approach combining clinical and imaging or endoscopy data will better utilize AI-based technologies to further improve patient care.",

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KW - Pancreas < gastroenterology

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Artificial intelligence in pancreaticobiliary endoscopy

Abstract

Keywords

ASJC Scopus subject areas

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