A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis
Summary: Endoscopic remission is an important therapeutic goal in ulcerative colitis (UC). The Ulcerative Colitis Endoscopic Index of Severity (UCEIS) and Mayo Endoscopic Score (MES) are the commonly used endoscopic scoring criteria. This systematic review and meta-analysis aimed to evaluate the acc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223021971 |
| _version_ | 1827793472099188736 |
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| author | Bing Lv Lihong Ma Yanping Shi Tao Tao Yanting Shi |
| author_facet | Bing Lv Lihong Ma Yanping Shi Tao Tao Yanting Shi |
| author_sort | Bing Lv |
| collection | DOAJ |
| description | Summary: Endoscopic remission is an important therapeutic goal in ulcerative colitis (UC). The Ulcerative Colitis Endoscopic Index of Severity (UCEIS) and Mayo Endoscopic Score (MES) are the commonly used endoscopic scoring criteria. This systematic review and meta-analysis aimed to evaluate the accuracy of artificial intelligence (AI) in diagnosing endoscopic remission in UC. We also performed a meta-analysis of each of the four endoscopic remission criteria (UCEIS = 0, MES = 0, UCEIS = <1, MES = <1). Eighteen studies involving 13,687 patients were included. The combined sensitivity and specificity of AI for diagnosing endoscopic remission in UC was 87% (95% confidence interval [CI]:81–92%) and 92% (95% CI: 89–94%), respectively. The area under the curve (AUC) was 0.96 (95% CI: 0.94–0.97). The results showed that the AI model performed well regardless of which criteria were used to define endoscopic remission of UC. |
| first_indexed | 2024-03-11T18:18:56Z |
| format | Article |
| id | doaj.art-3c9eeec277604283bbbd1e71d70175d0 |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-03-11T18:18:56Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-3c9eeec277604283bbbd1e71d70175d02023-10-16T04:12:44ZengElsevieriScience2589-00422023-11-012611108120A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitisBing Lv0Lihong Ma1Yanping Shi2Tao Tao3Yanting Shi4School of Computer Science and Technology, Shandong University of Technology, NO.266, Xincunxi Road, Zibo, Shandong 255000, ChinaDepartment of Gastroenterology, Zibo Central Hospital, No.10 Shanghai Road, Zibo, Shandong 255000, ChinaDepartment of Pediatrics, Zhoucun Maternal and Child Health Care Hospital, No.72 Mianhuashi Street, Zibo, Shandong 255000, ChinaDepartment of Gastroenterology, Zibo Central Hospital, No.10 Shanghai Road, Zibo, Shandong 255000, ChinaDepartment of Gastroenterology, Zibo Central Hospital, No.10 Shanghai Road, Zibo, Shandong 255000, China; Corresponding authorSummary: Endoscopic remission is an important therapeutic goal in ulcerative colitis (UC). The Ulcerative Colitis Endoscopic Index of Severity (UCEIS) and Mayo Endoscopic Score (MES) are the commonly used endoscopic scoring criteria. This systematic review and meta-analysis aimed to evaluate the accuracy of artificial intelligence (AI) in diagnosing endoscopic remission in UC. We also performed a meta-analysis of each of the four endoscopic remission criteria (UCEIS = 0, MES = 0, UCEIS = <1, MES = <1). Eighteen studies involving 13,687 patients were included. The combined sensitivity and specificity of AI for diagnosing endoscopic remission in UC was 87% (95% confidence interval [CI]:81–92%) and 92% (95% CI: 89–94%), respectively. The area under the curve (AUC) was 0.96 (95% CI: 0.94–0.97). The results showed that the AI model performed well regardless of which criteria were used to define endoscopic remission of UC.http://www.sciencedirect.com/science/article/pii/S2589004223021971PathophysiologyArtificial intelligence |
| spellingShingle | Bing Lv Lihong Ma Yanping Shi Tao Tao Yanting Shi A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis iScience Pathophysiology Artificial intelligence |
| title | A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis |
| title_full | A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis |
| title_fullStr | A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis |
| title_full_unstemmed | A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis |
| title_short | A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis |
| title_sort | systematic review and meta analysis of artificial intelligence diagnosed endoscopic remission in ulcerative colitis |
| topic | Pathophysiology Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2589004223021971 |
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