Cited 9 times in
Artificial intelligence in liver disease
DC Field | Value | Language |
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dc.contributor.author | 안상훈 | - |
dc.contributor.author | 이혜원 | - |
dc.date.accessioned | 2021-09-29T01:30:05Z | - |
dc.date.available | 2021-09-29T01:30:05Z | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 0815-9319 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/184396 | - |
dc.description.abstract | Artificial intelligence (AI) is a branch of computer science that attempts to mimic human intelligence, such as learning and problem-solving skills. The use of AI in hepatology occurred later than in gastroenterology. Nevertheless, studies on applying AI to liver disease have recently increased. AI in hepatology can be applied for detecting liver fibrosis, differentiating focal liver lesions, predicting prognosis of chronic liver disease, and diagnosing of nonalcoholic fatty liver disease. We expect that AI will eventually help manage patients with liver disease, predict the clinical outcomes, and reduce medical errors. However, there are several hurdles that need to be overcome. Here, we will briefly review the areas of liver disease to which AI can be applied. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Blackwell Scientific Publications | - |
dc.relation.isPartOf | JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Artificial intelligence in liver disease | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Hye Won Lee | - |
dc.contributor.googleauthor | Joseph J Y Sung | - |
dc.contributor.googleauthor | Sang Hoon Ahn | - |
dc.identifier.doi | 10.1111/jgh.15409 | - |
dc.contributor.localId | A02226 | - |
dc.contributor.localId | A03318 | - |
dc.relation.journalcode | J01417 | - |
dc.identifier.eissn | 1440-1746 | - |
dc.identifier.pmid | 33709605 | - |
dc.identifier.url | https://onlinelibrary.wiley.com/doi/10.1111/jgh.15409 | - |
dc.subject.keyword | artificial intelligence | - |
dc.subject.keyword | hepatology | - |
dc.subject.keyword | machine learning | - |
dc.contributor.alternativeName | Ahn, Sang Hoon | - |
dc.contributor.affiliatedAuthor | 안상훈 | - |
dc.contributor.affiliatedAuthor | 이혜원 | - |
dc.citation.volume | 36 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 539 | - |
dc.citation.endPage | 542 | - |
dc.identifier.bibliographicCitation | JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, Vol.36(3) : 539-542, 2021-03 | - |
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