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Endoscopic Photography in Gastroenterology [PDF]
H. Worth Boyce
exaly +2 more sources
Comparative gastroenterology [PDF]
Charles E. Cornelius
openalex +4 more sources
Gastroenterology Insights [...]
Gastroenterology Insights Editorial Office
doaj +1 more source
Acknowledgment to Reviewers of Gastroenterology Insights in 2021
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Gastroenterology Insights Editorial Office
doaj +1 more source
Acknowledgment to the Reviewers of Gastroenterology Insights in 2022
High-quality academic publishing is built on rigorous peer review [...]
Gastroenterology Insights Editorial Office
doaj +1 more source
BackgroundArtificial Intelligence (AI) holds considerable promise for diagnostics in the field of gastroenterology. This systematic review and meta-analysis aims to assess the diagnostic accuracy of AI models compared with the gold standard of experts ...
Om Parkash+8 more
doaj +1 more source
Background/Aims: The management decisions regarding gastroesophageal reflux disease (GERD) may differ according to the presence of erosive esophagitis. On the other hand, the availability of upper endoscopy in Indonesia is relatively limited.
Titong Sugihartono+5 more
doaj +1 more source
Prevalence and risk factor for chronic diarrhea in participants of a Japanese medical checkup
Background and Aim Although chronic diarrhea is a major digestive disorder, it has not been well studied. The aims of this study were to investigate the prevalence and risk factors of chronic diarrhea in the Japanese population and to assess the ...
Yuji Matsumoto+14 more
doaj +1 more source
Hepatoid adenocarcinoma: A wolf in hepatocellular carcinoma's clothing
Hepatoid adenocarcinoma (HAC) is a rare malignancy that may mimic hepatocellular carcinoma (HCC) given its hepatoid histologic appearance and production of alpha fetoprotein. Clinical management and prognosis of HAC varies considerably from HCC.
Paul Nguyen+2 more
doaj +1 more source
Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives
Artificial intelligence using deep learning has been applied to gastrointestinal disorders for the detection, classification, and delineation of various lesion images.
Chang Seok Bang
doaj +1 more source