How does artificial intelligence‐aided colonoscopy help to improve adenoma detection rates?

Lim, Wei Shyann; Liew, Jacqueline Jin Li; Loh, Caitlin Yuen Ling; Teoh, Seth En; Koh, Frederick H.

doi:10.1111/ans.17953

Cited by 2 publications

(6 citation statements)

References 6 publications

(9 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…19 study also showcases the ability of this AI system to detect various other types of polyps. 20 Other similar system that is CE approved include the PENTAX Medical DISCOVERY™ and CAD EYE (Fujifilm) with 2 modes-white light and linked colour imaging. 21 As lesions highlighted (output) by such systems can be overrided by the clinician, clinical evidence required is less stringent.…”

Section: Discussionmentioning

confidence: 99%

Detection of sessile serrated adenoma using artificial intelligence‐enhanced endoscopy: an Asian perspective

Soo,

Koh

2023

ANZ Journal of Surgery

Self Cite

View full text Add to dashboard Cite

BackgroundAs the serrated pathway has gained prominence as an alternative colorectal carcinogenesis pathway, sessile serrated adenomas or polyps (SSA/P) have been highlighted as lesions to rule out during colonoscopy. These lesions are however morphologically difficult to detect on endoscopy and can be mistaken for hyperplastic polyps due to similar endoscopic features. With the underlying nature of rapid progression and malignant transformation, interval cancer is a likely consequence of undetected or overlooked SSA/P. Real‐time artificial intelligence (AI)‐assisted colonoscopy via the computer‐assisted detection system (CADe) is an increasingly useful tool in improving adenoma detection rate by providing a second eye during the procedure. In this article, we describe a guide through a video to illustrate the detection of SSA/P during AI‐assisted colonoscopy.MethodsConsultant‐grade endoscopists utilized real‐time AI‐assisted colonoscopy device, as part of a larger prospective study, to detect suspicious lesions which were later histopathologically confirmed to be SSA/P.ResultsAll lesions were picked up by the CADe where a real‐time green box highlighted suspicious polyps to the clinician. Three SSA/P of varying morphology are described with reference to classical SSA/P features and with comparison to the features of the hyperplastic polyp found in our study. All three SSA/P observed are in keeping with the JNET Classification (Type 1).ConclusionIn conclusion, CADe is a most useful aid to clinicians during endoscopy in the detection of SSA/P but must be complemented with factors such as good endoscopy skill and bowel prep for effective detection, and biopsy coupled with subsequent accurate histological diagnosis.

show abstract

Section: Discussionmentioning

confidence: 99%

Detection of sessile serrated adenoma using artificial intelligence‐enhanced endoscopy: an Asian perspective

Soo,

Koh

2023

ANZ Journal of Surgery

Self Cite

View full text Add to dashboard Cite

show abstract

“…Colonoscopy is an area in which AI is already being used. AI algorithms designed to aid polyp detection have been shown to increase adenoma detection rates, even amongst experienced endoscopists, 5 thus providing a cost effective method of reducing CRC during population screening 6 . DL models can both detect and classify polyps with high sensitivity and specificity 7 .…”

mentioning

confidence: 99%

“…DL models can both detect and classify polyps with high sensitivity and specificity 7 . The development of AI‐assisted clinical tools that can provide decision support such as future endoscopic surveillance intervals are ongoing 5 . Such tools can also enhance endoscopy training through improved polyp pattern recognition identification 5 …”

mentioning

confidence: 99%

“…7 The development of AI-assisted clinical tools that can provide decision support such as future endoscopic surveillance intervals are ongoing. 5 Such tools can also enhance endoscopy training through improved polyp pattern recognition identification. 5 Support systems which provide evidence-based clinical decision making tools for CRC are already available.…”

mentioning

confidence: 99%

“…5 Such tools can also enhance endoscopy training through improved polyp pattern recognition identification. 5 Support systems which provide evidence-based clinical decision making tools for CRC are already available. The Watson for Oncology (WFO) program developed by IBM and the Memorial Sloan Kettering Cancer Centre has been trained to follow the U.S. National Comprehensive Cancer Network guidelines.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Artificial intelligence (AI) in the management of colorectal cancer: on the horizon?

Wei

Zhang

Schmidt

et al. 2023

ANZ Journal of Surgery

View full text Add to dashboard Cite

How does artificial intelligence‐aided colonoscopy help to improve adenoma detection rates?

Cited by 2 publications

References 6 publications

Detection of sessile serrated adenoma using artificial intelligence‐enhanced endoscopy: an Asian perspective

Detection of sessile serrated adenoma using artificial intelligence‐enhanced endoscopy: an Asian perspective

Artificial intelligence (AI) in the management of colorectal cancer: on the horizon?

Contact Info

Product

Resources

About