Usefulness of a novel computer-aided detection system for colorectal neoplasia: a randomized controlled trial

Gimeno–García, Antonio Z.; Negrín, Domingo; Hernández, Anjara; Nicolás–Pérez, David; Rodríguez, Eduardo A.; Montesdeoca, Carlota; Alarcón, Onofre; Romero, Rafael; Dorta, José Luis Baute; Cedrés, Yaiza; Castillo, Rocío del; Jiménez, Alejandro; Felipe, Vanessa; Morales, Dalia; Ortega, Juan Antonio; Reygosa, Cristina; Quintero, Enrique; Hernández‐Guerra, Manuel

doi:10.1016/j.gie.2022.09.029

Cited by 26 publications

(25 citation statements)

References 32 publications

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“…These systems are able to alert the endoscopist of potential lesions in real time with visual prompts and have the potential to decrease the polyp miss rate, contributing to improving ADR [ 15 , 16 ]. Indeed, several randomized controlled trials (RCTs) have shown that CADe increases the ADR and polyp detection rate (PDR) compared to conventional colonoscopy (CC) [ 17 , 18 ]. Table 1 shows the meta-analyses of randomized controlled trials (RCTs) [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ] that assessed the benefit of CADe in ADR as the primary outcome.…”

Section: Computer-aided Polyp Detection (Cade)mentioning

confidence: 99%

“…Other issues that arouse controversy are the impact of colon cleansing on CADe, the usefulness of CADe depending on endoscopist expertise and the risk of losing colonoscopy skills (deskilling) derived from the overreliance on CADe. Regarding the behavior of CADe depending on the different cleansing qualities, one recent RCT comparing CADe and CC in 370 outpatients found statistically significant differences in favor of the CADe group for the flat ADR in patients with adequate cleansing (39.8% vs. 24.4%; p = 0.03) [ 17 ]. However, there were no statistically significant differences in patients with excellent bowel cleansing when CADe and CC were compared.…”

Section: Computer-aided Polyp Detection (Cade)mentioning

confidence: 99%

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Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?

Gimeno–García

Hernández-Pérez

Díaz

et al. 2023

Cancers

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Growing evidence indicates that artificial intelligence (AI) applied to medicine is here to stay. In gastroenterology, AI computer vision applications have been stated as a research priority. The two main AI system categories are computer-aided polyp detection (CADe) and computer-assisted diagnosis (CADx). However, other fields of expansion are those related to colonoscopy quality, such as methods to objectively assess colon cleansing during the colonoscopy, as well as devices to automatically predict and improve bowel cleansing before the examination, predict deep submucosal invasion, obtain a reliable measurement of colorectal polyps and accurately locate colorectal lesions in the colon. Although growing evidence indicates that AI systems could improve some of these quality metrics, there are concerns regarding cost-effectiveness, and large and multicentric randomized studies with strong outcomes, such as post-colonoscopy colorectal cancer incidence and mortality, are lacking. The integration of all these tasks into one quality-improvement device could facilitate the incorporation of AI systems in clinical practice. In this manuscript, the current status of the role of AI in colonoscopy is reviewed, as well as its current applications, drawbacks and areas for improvement.

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Section: Computer-aided Polyp Detection (Cade)mentioning

confidence: 99%

Section: Computer-aided Polyp Detection (Cade)mentioning

confidence: 99%

Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?

Gimeno–García

Hernández-Pérez

Díaz

et al. 2023

Cancers

Self Cite

View full text Add to dashboard Cite

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“…Recently, deep learning-based algorithms have been developed aiming to assist in adenoma detection. After showing promising results in ex vivo studies [ 26 , 27 , 28 ], the use of artificial intelligence algorithms has been claimed to improve detection of colorectal lesions in several randomized controlled trials [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ] ( Table 1 ).…”

Section: Artificial Intelligence In Colonoscopymentioning

confidence: 99%

“…However, it may be argued that a further increase the performance in adenoma detection of expert endoscopists, such as the ones involved in the first trials [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ], may provide only little additional benefit.…”

Section: Artificial Intelligence In Colonoscopymentioning

confidence: 99%

Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening

et al. 2023

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Colorectal cancer (CRC) is the third most common cancer worldwide, with the highest incidence reported in high-income countries. However, because of the slow progression of neoplastic precursors, along with the opportunity for their endoscopic detection and resection, a well-designed endoscopic screening program is expected to strongly decrease colorectal cancer incidence and mortality. In this regard, quality of colonoscopy has been clearly related with the risk of post-colonoscopy colorectal cancer. Recently, the development of artificial intelligence (AI) applications in the medical field has been growing in interest. Through machine learning processes, and, more recently, deep learning, if a very high numbers of learning samples are available, AI systems may automatically extract specific features from endoscopic images/videos without human intervention, helping the endoscopists in different aspects of their daily practice. The aim of this review is to summarize the current knowledge on AI-aided endoscopy, and to outline its potential role in colorectal cancer prevention.

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“…Some computer-aided polyp detection (CADe) systems have entered the field of clinical application, however, and have been studied extensively in randomized trials. At the time of writing, 19 such trials were available as full publications [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. They all show a more or less significant increase in detection of small adenomas.…”

mentioning

confidence: 99%