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Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature
With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroent...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397124/ https://www.ncbi.nlm.nih.gov/pubmed/34441823 http://dx.doi.org/10.3390/jcm10163527 |
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author | Yen, Hsu-Heng Wu, Ping-Yu Chen, Mei-Fen Lin, Wen-Chen Tsai, Cheng-Lun Lin, Kang-Ping |
author_facet | Yen, Hsu-Heng Wu, Ping-Yu Chen, Mei-Fen Lin, Wen-Chen Tsai, Cheng-Lun Lin, Kang-Ping |
author_sort | Yen, Hsu-Heng |
collection | PubMed |
description | With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroenterologist, radiologist, and surgeon, from initial assessment to hospital discharge. The application of artificial intelligence (AI) methods has remarkably improved people’s lives. In particular, AI systems have shown great potential in many areas of gastroenterology to increase human performance. Colonoscopy polyp detection or diagnosis by an AI system was recently introduced for commercial use to improve endoscopist performance. Although PUB is a longstanding health problem, these newly introduced AI technologies may soon impact endoscopists’ clinical practice by improving the quality of care for these patients. To update the current status of AI application in PUB, we reviewed recent relevant literature and provided future perspectives that are required to integrate such AI tools into real-world practice. |
format | Online Article Text |
id | pubmed-8397124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83971242021-08-28 Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature Yen, Hsu-Heng Wu, Ping-Yu Chen, Mei-Fen Lin, Wen-Chen Tsai, Cheng-Lun Lin, Kang-Ping J Clin Med Review With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroenterologist, radiologist, and surgeon, from initial assessment to hospital discharge. The application of artificial intelligence (AI) methods has remarkably improved people’s lives. In particular, AI systems have shown great potential in many areas of gastroenterology to increase human performance. Colonoscopy polyp detection or diagnosis by an AI system was recently introduced for commercial use to improve endoscopist performance. Although PUB is a longstanding health problem, these newly introduced AI technologies may soon impact endoscopists’ clinical practice by improving the quality of care for these patients. To update the current status of AI application in PUB, we reviewed recent relevant literature and provided future perspectives that are required to integrate such AI tools into real-world practice. MDPI 2021-08-11 /pmc/articles/PMC8397124/ /pubmed/34441823 http://dx.doi.org/10.3390/jcm10163527 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Yen, Hsu-Heng Wu, Ping-Yu Chen, Mei-Fen Lin, Wen-Chen Tsai, Cheng-Lun Lin, Kang-Ping Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature |
title | Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature |
title_full | Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature |
title_fullStr | Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature |
title_full_unstemmed | Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature |
title_short | Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature |
title_sort | current status and future perspective of artificial intelligence in the management of peptic ulcer bleeding: a review of recent literature |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397124/ https://www.ncbi.nlm.nih.gov/pubmed/34441823 http://dx.doi.org/10.3390/jcm10163527 |
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