Artificial intelligence technologies for the detection of colorectal lesions: The future is now

doi:10.3748/wjg.v26.i37.5606

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 26, Issue 37

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (8430)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-2) series, Tables (1-3) series.

Item

Count

PDF

560

WORD

207

HTML

4989

Figures (1-2)

365

Tables (1-3)

360

Sum=6481

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

813

Download

1136

Sum=1949

Oct 7, 2020 (publication date) through Nov 27, 2024

Times Cited of This Article

Times Cited (21)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Minireviews

World J Gastroenterol. Oct 7, 2020; 26(37): 5606-5616
Published online Oct 7, 2020. doi: 10.3748/wjg.v26.i37.5606

Table 3 In vivo randomized control trials characteristics

Ref.	Country	CAD system	CAD system aim	Number of patients		ADR (%)	ADR (%)
Ref.	Country	CAD system	CAD system aim	WL	CAD	WL	CAD
Wang et al[15], 2019	China	EndoScreener	Detection	536	522	20.3	28.9
Wang et al[54], 2020	China	EndoScreener	Detection	478	484	28	34.1
Gong et al[30], 2020	China	ENDOANGEL	Quality	318	324	8	16
Repici et al[31], 2020	Italy	GI-Genius	Detection	344	341	40.4	54.8
Liu et al[28], 2020	China	Henan Xuanweitang Medical Information technology Co. Ltd.	Detection	518	508	23.9	39.2
Su et al[29], 2020	China	-	Detection; quality	315	308	16.5	28.9

WL: White light (control group); CAD: Computer aided diagnosis; ADR: Adenoma detection rate.

Citation: Attardo S, Chandrasekar VT, Spadaccini M, Maselli R, Patel HK, Desai M, Capogreco A, Badalamenti M, Galtieri PA, Pellegatta G, Fugazza A, Carrara S, Anderloni A, Occhipinti P, Hassan C, Sharma P, Repici A. Artificial intelligence technologies for the detection of colorectal lesions: The future is now. World J Gastroenterol 2020; 26(37): 5606-5616
URL: https://www.wjgnet.com/1007-9327/full/v26/i37/5606.htm
DOI: https://dx.doi.org/10.3748/wjg.v26.i37.5606