Effectiveness of artificial intelligence in improving colonoscopy quality
[...]it is currently applied in colonoscopy and endoscopy in general in the form of computer-aided diagnosis (CADe) and detection of different pathologies. [...]using AI in colonoscopy may have significance in the detection and eventual prognosis of CRC. [...]the performance of different CADx system...
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| Published in: | The Egyptian journal of internal medicine Vol. 36; no. 1; pp. 103 - 5 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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12-11-2024
Springer Nature B.V SpringerOpen |
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| Abstract | [...]it is currently applied in colonoscopy and endoscopy in general in the form of computer-aided diagnosis (CADe) and detection of different pathologies. [...]using AI in colonoscopy may have significance in the detection and eventual prognosis of CRC. [...]the performance of different CADx systems in colonoscopies was investigated in other clinical trials, which still found CADx to have high diagnostic performance in the characterization of polyps during colonoscopies [14–16]. A recent meta-analysis by Makar et al. of 28 randomized clinical trials (RCTs) showed that ADR and polyp detection rate (PDR) was significantly greater in the AI-aided group than in the group that underwent routine endoscopy [19]. Since colonoscopy is the gold standard for SSL diagnosis, SSLDR was developed, similar to ADR, to measure the quality of colonoscopy screening [26, 27]. |
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| AbstractList | [...]it is currently applied in colonoscopy and endoscopy in general in the form of computer-aided diagnosis (CADe) and detection of different pathologies. [...]using AI in colonoscopy may have significance in the detection and eventual prognosis of CRC. [...]the performance of different CADx systems in colonoscopies was investigated in other clinical trials, which still found CADx to have high diagnostic performance in the characterization of polyps during colonoscopies [14–16]. A recent meta-analysis by Makar et al. of 28 randomized clinical trials (RCTs) showed that ADR and polyp detection rate (PDR) was significantly greater in the AI-aided group than in the group that underwent routine endoscopy [19]. Since colonoscopy is the gold standard for SSL diagnosis, SSLDR was developed, similar to ADR, to measure the quality of colonoscopy screening [26, 27]. |
| ArticleNumber | 103 |
| Author | Hassan, Zeinab Hashim, Ahmed Okasha, Hussein Miutescu, Bogdan Gadour, Eyad |
| Author_xml | – sequence: 1 givenname: Eyad surname: Gadour fullname: Gadour, Eyad email: eyadgadour@doctors.org.uk organization: King Abdulaziz National Guard Hospital, Zamzam University College – sequence: 2 givenname: Zeinab surname: Hassan fullname: Hassan, Zeinab organization: Stockport Hospital NHS Foundation Trust – sequence: 3 givenname: Ahmed surname: Hashim fullname: Hashim, Ahmed organization: Cairo University – sequence: 4 givenname: Bogdan surname: Miutescu fullname: Miutescu, Bogdan email: bmiutescu@yahoo.com organization: Victor Babeș University of Medicine and Pharmacy Timișoara – sequence: 5 givenname: Hussein surname: Okasha fullname: Okasha, Hussein organization: Cairo University |
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| Cites_doi | 10.5009/gnl16523 10.1055/a-1185-3109 10.1016/j.gie.2024.08.033 10.1007/s00535-021-01808-w 10.1001/jama.2021.6238 10.1002/cam4.4261 10.3748/wjg.v27.i29.4802 10.1093/gastro/goac081 10.1111/den.13340 10.1111/j.1572-0241.2006.00390.x 10.1155/2019/4315032 10.1016/j.gie.2019.12.018 10.1016/j.gie.2015.02.044 10.37126/aige.v4.i2.18 10.1016/j.cgh.2022.07.006 10.7326/0003-4819-149-9-200811040-00243 10.3322/caac.21551 10.1053/j.gastro.2021.05.041 10.21037/tgh-23-8 10.1016/j.cgh.2013.04.042 10.1016/j.cgh.2013.10.035 10.1002/ueg2.12354 10.1136/gutjnl-2021-324471 10.1055/s-0043-109430 10.1055/a-1231-5123 10.1056/EVIDoa2200003 10.1053/j.gastro.2022.05.028 10.1136/bmj.g2467 10.7326/M18-0249 10.1016/j.cgh.2022.04.045 10.1177/2050640619845987 |
| ContentType | Journal Article |
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| Keywords | Colonoscopy Colorectal cancer Adenoma detection rate Sessile serrated lesion detection rate Artificial intelligence aided colonoscopy Artificial intelligence Computer-aided detection |
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