Literature DB >> 31770118

Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help.

Bum-Joo Cho1,2, Chang Seok Bang2,3,4.   

Abstract

Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperplastic polyps. Resecting all the diminutive polyps is not cost-effective. Therefore, gastroenterologists have proposed optical diagnosis using image-enhanced endoscopy for polyp characterization. These technologies have achieved favorable outcomes, but are not widely available. Artificial intelligence has been used in clinical medicine to classify lesions. Here, artificial intelligence technology for the characterization of colorectal polyps is discussed in a decision-making context regarding diminutive colorectal polyps.

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Mesh:

Year:  2020        PMID: 31770118     DOI: 10.14309/ajg.0000000000000476

Source DB:  PubMed          Journal:  Am J Gastroenterol        ISSN: 0002-9270            Impact factor:   10.864


  4 in total

1.  No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification.

Authors:  Eun Jeong Gong; Chang Seok Bang; Jae Jun Lee; Seung In Seo; Young Joo Yang; Gwang Ho Baik; Jong Wook Kim
Journal:  J Pers Med       Date:  2022-06-12

Review 2.  Traditional and Modern Diagnostic Approaches in Diagnosing Pediatric Helicobacter pylori Infection.

Authors:  Cristina Oana Mărginean; Lorena Elena Meliț; Maria Oana Săsăran
Journal:  Children (Basel)       Date:  2022-07-01

3.  Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning.

Authors:  Bum-Joo Cho; Chang Seok Bang; Jae Jun Lee; Chang Won Seo; Ju Han Kim
Journal:  J Clin Med       Date:  2020-06-15       Impact factor: 4.241

Review 4.  Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy.

Authors:  Chang Seok Bang; Jae Jun Lee; Gwang Ho Baik
Journal:  J Med Internet Res       Date:  2020-09-16       Impact factor: 5.428

  4 in total

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