Effectiveness of artificial intelligence in improving colonoscopy quality

• Published in: The Egyptian journal of internal medicine Vol. 36; no. 1; pp. 103 - 5
• Main Authors: Gadour, Eyad, Hassan, Zeinab, Hashim, Ahmed, Miutescu, Bogdan, Okasha, Hussein
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 12-11-2024; Springer Nature B.V; SpringerOpen
• Subjects: Adenoma detection rate; Artificial intelligence; Clinical trials; Colonoscopy; Colorectal cancer; Computer-aided detection; Computers; Editorial; Endoscopy; Gastroenterology; Internal Medicine; Medical prognosis; Medicine; Medicine & Public Health; Mortality; Polyps; Sessile serrated lesion detection rate; Software; Tumors; Colonoscopy; Colorectal cancer; Adenoma detection rate; Sessile serrated lesion detection rate; Artificial intelligence aided colonoscopy; Artificial intelligence; Computer-aided detection
• ISSN: 2090-9098; 1110-7782; 2090-9098
• DOI: 10.1186/s43162-024-00371-z

[...]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].