Application of artificial intelligence in diagnosis of pancreatic malignancies by endoscopic ultrasound: a systemic review.

ABSTRACT:

Background

Pancreatic cancer (PC) is a highly fatal malignancy with a global overall 5-year survival of under 10%. Screening of PC is not recommended outside of clinical trials. Endoscopic ultrasonography (EUS) is a very sensitive test to identify PC but lacks specificity and is operator-dependent, especially in the presence of chronic pancreatitis (CP). Artificial Intelligence (AI) is a growing field with a wide range of applications to augment the currently available modalities. This study was undertaken to study the effectiveness of AI with EUS in the diagnosis of PC.

Methods

Studies from MEDLINE and EMBASE databases reporting the AI performance applied to EUS imaging for recognizing PC. Data were analyzed using descriptive statistics. The Quality Assessment of Diagnostic

SUBMITTER: Goyal H 

PROVIDER: S-EPMC9058356 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature