Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.

    I agree
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
Oncology Reports
Join Editorial Board Propose a Special Issue
Print ISSN: 1021-335X Online ISSN: 1791-2431
Journal Cover
November-2023 Volume 50 Issue 5

Full Size Image

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
November-2023 Volume 50 Issue 5

Full Size Image

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML
Review

Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review)

  • Authors:
    • Menglu Ding
    • Junbin Yan
    • Guanqun Chao
    • Shuo Zhang
  • View Affiliations / Copyright

    Affiliations: The Second Affiliated Hospital of Zhejiang Chinese Medical University (The Xin Hua Hospital of Zhejiang Province), Hangzhou, Zhejiang 310000, P.R. China, Department of General Practice, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang 310000, P.R. China
  • Article Number: 199
    |
    Published online on: September 28, 2023
       https://doi.org/10.3892/or.2023.8636
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:



Abstract

Colorectal cancer (CRC) has become a severe global health concern, with the third‑high incidence and second‑high mortality rate of all cancers. The burden of CRC is expected to surge to 60% by 2030. Fortunately, effective early evidence‑based screening could significantly reduce the incidence and mortality of CRC. Colonoscopy is the core screening method for CRC with high popularity and accuracy. Yet, the accuracy of colonoscopy in CRC screening is related to the experience and state of operating physicians. It is challenging to maintain the high CRC diagnostic rate of colonoscopy. Artificial intelligence (AI)‑assisted colonoscopy will compensate for the above shortcomings and improve the accuracy, efficiency, and quality of colonoscopy screening. The unique advantages of AI, such as the continuous advancement of high‑performance computing capabilities and innovative deep‑learning architectures, which hugely impact the control of colorectal cancer morbidity and mortality expectancy, highlight its role in colonoscopy screening.
View Figures

Figure 1

Figure 2

View References

1 

Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A and Bray F: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 71:209–249. 2021. View Article : Google Scholar : PubMed/NCBI

2 

Trepanier M, Minnella EM, Paradis T, Awasthi R, Kaneva P, Schwartzman K, Carli F, Fried GM, Feldman LS and Lee L: Improved Disease-free survival after prehabilitation for colorectal cancer surgery. Ann Surg. 270:493–501. 2019. View Article : Google Scholar : PubMed/NCBI

3 

Brenner H, Kloor M and Pox CP: Colorectal cancer. Lancet. 383:1490–1502. 2014. View Article : Google Scholar : PubMed/NCBI

4 

Click B, Pinsky PF, Hickey T, Doroudi M and Schoen RE: Association of colonoscopy adenoma findings with Long-term colorectal cancer incidence. JAMA. 319:2021–2031. 2018. View Article : Google Scholar : PubMed/NCBI

5 

Shinya H and Wolff WI: Morphology, anatomic distribution and cancer potential of colonic polyps. Ann Surg. 190:679–683. 1979. View Article : Google Scholar : PubMed/NCBI

6 

Ladabaum U, Dominitz JA, Kahi C and Schoen RE: Strategies for colorectal cancer screening. Gastroenterology. 158:418–432. 2020. View Article : Google Scholar : PubMed/NCBI

7 

US Preventive Services Task Force, . Davidson KW, Barry MJ, Mangione CM, Cabana M, Caughey AB, Davis EM, Donahue KE, Doubeni CA, Krist AH, et al: Screening for colorectal cancer: US Preventive services task force recommendation statement. JAMA. 325:1965–1977. 2021. View Article : Google Scholar : PubMed/NCBI

8 

Lin JS, Perdue LA, Henrikson NB, Bean SI and Blasi PR: Screening for colorectal cancer: Updated evidence report and systematic review for the US preventive services task force. JAMA. 325:1978–1998. 2021. View Article : Google Scholar : PubMed/NCBI

9 

Barua I, Vinsard DG, Jodal HC, Loberg M, Kalager M, Holme O, Holme Ø, Misawa M, Bretthauer M and Mori Y: Artificial intelligence for polyp detection during colonoscopy: A systematic review and meta-analysis. Endoscopy. 53:277–284. 2021. View Article : Google Scholar : PubMed/NCBI

10 

Gao P, Zhou K, Su W, Yu J and Zhou P: Endoscopic management of colorectal polyps. Gastroenterol Rep (Oxf). 11:goad0272023. View Article : Google Scholar : PubMed/NCBI

11 

Meseeha M and Attia M: Colon Polyps. StatPearls. Treasure Island (FL) ineligible companies. Disclosure: Maximos Attia declares no relevant financial relationships with ineligible companies. 2023.

12 

Kamaradova K: Non-conventional types of dysplastic changes in gastrointestinal tract mucosa-review of morphological features of individual subtypes. Cesk Patol. 58:38–51. 2022.PubMed/NCBI

13 

Keum N and Giovannucci E: Global burden of colorectal cancer: Emerging trends, risk factors and prevention strategies. Nat Rev Gastroenterol Hepatol. 16:713–732. 2019. View Article : Google Scholar : PubMed/NCBI

14 

Crockett SD and Nagtegaal ID: Terminology, molecular features, epidemiology, and management of serrated colorectal neoplasia. Gastroenterology. 157:949–66.e4. 2019. View Article : Google Scholar : PubMed/NCBI

15 

Haghighat S, Sussman DA and Deshpande A: US preventive services task force recommendation statement on screening for colorectal cancer. JAMA. 326:13282021. View Article : Google Scholar : PubMed/NCBI

16 

Carethers JM: Fecal DNA testing for colorectal cancer screening. Annu Rev Med. 71:59–69. 2020. View Article : Google Scholar : PubMed/NCBI

17 

Mandel JS, Church TR, Bond JH, Ederer F, Geisser MS, Mongin SJ, Snover DC and Schuman LM: The effect of fecal occult-blood screening on the incidence of colorectal cancer. N Engl J Med. 343:1603–1607. 2000. View Article : Google Scholar : PubMed/NCBI

18 

Faivre J, Dancourt V, Lejeune C, Tazi MA, Lamour J, Gerard D, Dassonville F and Bonithon-Kopp C: Reduction in colorectal cancer mortality by fecal occult blood screening in a French controlled study. Gastroenterology. 126:1674–1680. 2004. View Article : Google Scholar : PubMed/NCBI

19 

Kronborg O, Jorgensen OD, Fenger C and Rasmussen M: Randomized study of biennial screening with a faecal occult blood test: Results after nine screening rounds. Scand J Gastroenterol. 39:846–851. 2004. View Article : Google Scholar : PubMed/NCBI

20 

Scholefield JH, Moss SM, Mangham CM, Whynes DK and Hardcastle JD: Nottingham trial of faecal occult blood testing for colorectal cancer: A 20-year follow-up. Gut. 61:1036–1040. 2012. View Article : Google Scholar : PubMed/NCBI

21 

Shaukat A, Mongin SJ, Geisser MS, Lederle FA, Bond JH, Mandel JS and Church TR: Long-term mortality after screening for colorectal cancer. N Engl J Med. 369:1106–1114. 2013. View Article : Google Scholar : PubMed/NCBI

22 

Chiu HM, Chen SL, Yen AM, Chiu SY, Fann JC, Lee YC, Pan SL, Wu MS, Liao CS, Chen HH, et al: Effectiveness of fecal immunochemical testing in reducing colorectal cancer mortality from the One Million Taiwanese Screening Program. Cancer. 121:3221–3229. 2015. View Article : Google Scholar : PubMed/NCBI

23 

Zorzi M, Fedeli U, Schievano E, Bovo E, Guzzinati S, Baracco S, Fedato C, Saugo M and Dei Tos AP: Impact on colorectal cancer mortality of screening programmes based on the faecal immunochemical test. Gut. 64:784–790. 2015. View Article : Google Scholar : PubMed/NCBI

24 

Redwood DG, Dinh TA, Kisiel JB, Borah BJ, Moriarty JP, Provost EM, Sacco FD, Tiesinga JJ and Ahlquist DA: Cost-Effectiveness of multitarget stool DNA testing vs colonoscopy or fecal immunochemical testing for colorectal cancer screening in alaska native people. Mayo Clin Proc. 96:1203–1217. 2021. View Article : Google Scholar : PubMed/NCBI

25 

Atkin W, Wooldrage K, Parkin DM, Kralj-Hans I, MacRae E, Shah U, Duffy S and Cross AJ: Long term effects of once-only flexible sigmoidoscopy screening after 17 years of follow-up: The UK Flexible Sigmoidoscopy Screening randomised controlled trial. Lancet. 389:1299–1311. 2017. View Article : Google Scholar : PubMed/NCBI

26 

Wolf AMD, Fontham ETH, Church TR, Flowers CR, Guerra CE, LaMonte SJ, Etzioni R, McKenna MT, Oeffinger KC and Shih YT: Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society. CA Cancer J Clin. 68:250–281. 2018. View Article : Google Scholar : PubMed/NCBI

27 

Nishihara R, Wu K, Lochhead P, Morikawa T, Liao X, Qian ZR, Inamura K, Kim SA, Kuchiba A, Yamauchi M, et al: Long-term colorectal-cancer incidence and mortality after lower endoscopy. N Engl J Med. 369:1095–1105. 2013. View Article : Google Scholar : PubMed/NCBI

28 

Calderwood AH and Jacobson BC: Colonoscopy quality: Metrics and implementation. Gastroenterol Clin North Am. 42:599–618. 2013. View Article : Google Scholar : PubMed/NCBI

29 

Zhao S, Wang S, Pan P, Xia T, Chang X, Yang X, Guo L, Meng Q, Yang F, Qian W, et al: Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: A Systematic review and meta-analysis. Gastroenterology. 156:1661–1674.e11. 2019. View Article : Google Scholar : PubMed/NCBI

30 

Kaminski MF, Wieszczy P, Rupinski M, Wojciechowska U, Didkowska J, Kraszewska E, Kobiela J, Franczyk R, Rupinska M, Kocot B, et al: Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death. Gastroenterology. 153:98–105. 2017. View Article : Google Scholar : PubMed/NCBI

31 

Rabeneck L and Paszat LF: Circumstances in which colonoscopy misses cancer. Frontline Gastroenterol. 1:52–58. 2010.PubMed/NCBI

32 

Rutter MD, Beintaris I, Valori R, Chiu HM, Corley DA, Cuatrecasas M, Dekker E, Forsberg A, Gore-Booth J, Haug U, et al: World endoscopy organization consensus statements on Post-Colonoscopy and Post-Imaging colorectal cancer. Gastroenterology. 155:909–25.e3. 2018. View Article : Google Scholar : PubMed/NCBI

33 

Kyu HH, Bachman VF, Alexander LT, Mumford JE, Afshin A, Estep K, Veerman JL, Delwiche K, Iannarone ML, Moyer ML, et al: Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: Systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. BMJ. 354:i38572016. View Article : Google Scholar : PubMed/NCBI

34 

Morris EJ, Rutter MD, Finan PJ, Thomas JD and Valori R: Post-colonoscopy colorectal cancer (PCCRC) rates vary considerably depending on the method used to calculate them: A retrospective observational population-based study of PCCRC in the English National Health Service. Gut. 64:1248–1256. 2015. View Article : Google Scholar : PubMed/NCBI

35 

Anderson R, Burr NE and Valori R: Causes of Post-colonoscopy colorectal cancers based on world endoscopy organization system of analysis. Gastroenterology. 158:1287–1299.e2. 2020. View Article : Google Scholar : PubMed/NCBI

36 

Hassan C, Piovani D, Spadaccini M, Parigi T, Khalaf K, Facciorusso A, Fugazza A, Rösch T, Bretthauer M, Mori Y, et al: Variability in adenoma detection rate in control groups of randomized colonoscopy trials: A systematic review and meta-analysis. Gastrointest Endosc. 97:212–225.e7. 2023. View Article : Google Scholar : PubMed/NCBI

37 

Burr N and Valori R: National post-colonoscopy colorectal cancer data challenge services to improve quality of colonoscopy. Endosc Int Open. 7:E728–E729. 2019. View Article : Google Scholar : PubMed/NCBI

38 

Wallace MB, Sharma P, Bhandari P, East J, Antonelli G, Lorenzetti R, Vieth M, Speranza I, Spadaccini M, Desai M, et al: Impact of artificial intelligence on miss rate of colorectal neoplasia. Gastroenterology. 163:295–304.e5. 2022. View Article : Google Scholar : PubMed/NCBI

39 

Hamet P and Tremblay J: Artificial intelligence in medicine. Metabolism. 69S:S36–S40. 2017. View Article : Google Scholar : PubMed/NCBI

40 

Bishop C: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer; April 6–2011, ISBN-10: 03873107382011. 2011.

41 

LeCun Y, Bengio Y and Hinton G: Deep learning. Nature. 521:436–444. 2015. View Article : Google Scholar : PubMed/NCBI

42 

Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S and Dean J: A guide to deep learning in healthcare. Nat Med. 25:24–29. 2019. View Article : Google Scholar : PubMed/NCBI

43 

Krenzer A, Makowski K, Hekalo A, Fitting D, Troya J, Zoller WG, Hann A and Puppe F: Fast machine learning annotation in the medical domain: A semi-automated video annotation tool for gastroenterologists. Biomed Eng Online. 21:332022. View Article : Google Scholar : PubMed/NCBI

44 

Bera K, Schalper KA, Rimm DL, Velcheti V and Madabhushi A: Artificial intelligence in digital pathology-new tools for diagnosis and precision oncology. Nat Rev Clin Oncol. 16:703–715. 2019. View Article : Google Scholar : PubMed/NCBI

45 

Corley DA, Jensen CD, Marks AR, Zhao WK, Lee JK, Doubeni CA, Zauber AG, de Boer J, Fireman BH, Schottinger JE, et al: Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med. 370:1298–1306. 2014. View Article : Google Scholar : PubMed/NCBI

46 

Greenspan M, Rajan KB, Baig A, Beck T, Mobarhan S and Melson J: Advanced adenoma detection rate is independent of nonadvanced adenoma detection rate. Am J Gastroenterol. 108:1286–1292. 2013. View Article : Google Scholar : PubMed/NCBI

47 

Singh H, Turner D, Xue L, Targownik LE and Bernstein CN: Risk of developing colorectal cancer following a negative colonoscopy examination: Evidence for a 10-year interval between colonoscopies. JAMA. 295:2366–2373. 2006. View Article : Google Scholar : PubMed/NCBI

48 

Brenner H, Chang-Claude J, Seiler CM, Rickert A and Hoffmeister M: Protection from colorectal cancer after colonoscopy: A population-based, case-control study. Ann Intern Med. 154:22–30. 2011. View Article : Google Scholar : PubMed/NCBI

49 

Baxter NN, Goldwasser MA, Paszat LF, Saskin R, Urbach DR and Rabeneck L: Association of colonoscopy and death from colorectal cancer. Ann Intern Med. 150:1–8. 2009. View Article : Google Scholar : PubMed/NCBI

50 

Kahi CJ, Imperiale TF, Juliar BE and Rex DK: Effect of screening colonoscopy on colorectal cancer incidence and mortality. Clin Gastroenterol Hepatol. 7:770–775; quiz 11. 2009. View Article : Google Scholar : PubMed/NCBI

51 

Maroulis DE, Iakovidis DK, Karkanis SA and Karras DA: CoLD: A versatile detection system for colorectal lesions in endoscopy video-frames. Comput Methods Programs Biomed. 70:151–166. 2003. View Article : Google Scholar : PubMed/NCBI

52 

Karkanis SA, Iakovidis DK, Maroulis DE, Karras DA and Tzivras M: Computer-aided tumor detection in endoscopic video using color wavelet features. IEEE Trans Inf Technol Biomed. 7:141–152. 2003. View Article : Google Scholar : PubMed/NCBI

53 

Misawa M, Kudo SE, Mori Y, Cho T, Kataoka S, Yamauchi A, Ogawa Y, Maeda Y, Takeda K, Ichimasa K, et al: Artificial Intelligence-Assisted polyp detection for colonoscopy: Initial experience. Gastroenterology. 154:2027–2029.e3. 2018. View Article : Google Scholar : PubMed/NCBI

54 

Yamada M, Saito Y, Imaoka H, Saiko M, Yamada S, Kondo H, Takamaru H, Sakamoto T, Sese J, Kuchiba A, et al: Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Sci Rep. 9:144652019. View Article : Google Scholar : PubMed/NCBI

55 

Wang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, Liu P, Li L, Song Y, Zhang D, et al: Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: A prospective randomised controlled study. Gut. 68:1813–1819. 2019. View Article : Google Scholar : PubMed/NCBI

56 

Wang P, Liu X, Berzin TM, Glissen Brown JR, Liu P, Zhou C, Lei L, Li L, Guo Z, Lei S, et al: Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): A double-blind randomised study. Lancet Gastroenterol Hepatol. 5:343–351. 2020. View Article : Google Scholar : PubMed/NCBI

57 

Gong D, Wu L, Zhang J, Mu G, Shen L, Liu J, Wang Z, Zhou W, An P, Huang X, et al: Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): A randomised controlled study. Lancet Gastroenterol Hepatol. 5:352–361. 2020. View Article : Google Scholar : PubMed/NCBI

58 

Urban G, Tripathi P, Alkayali T, Mittal M, Jalali F, Karnes W and Baldi P: Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy. Gastroenterology. 155:1069–1078.e8. 2018. View Article : Google Scholar : PubMed/NCBI

59 

Kamitani Y, Nonaka K and Isomoto H: Current status and future perspectives of artificial intelligence in colonoscopy. J Clin Med. 11:29232022. View Article : Google Scholar : PubMed/NCBI

60 

Gonzalez-Bueno Puyal J, Brandao P, Ahmad OF, Bhatia KK, Toth D, Kader R, Lovat L, Mountney P and Stoyanov D: Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Med Image Anal. 82:1026252022. View Article : Google Scholar : PubMed/NCBI

61 

Chen PJ, Lin MC, Lai MJ, Lin JC, Lu HH and Tseng VS: Accurate classification of diminutive colorectal polyps using computer-aided analysis. Gastroenterology. 154:568–575. 2018. View Article : Google Scholar : PubMed/NCBI

62 

Ng K, May FP and Schrag D: US preventive services task force recommendations for colorectal cancer screening: Forty-five is the new fifty. JAMA. 325:1943–1945. 2021. View Article : Google Scholar : PubMed/NCBI

63 

Huang D, Shen J, Hong J, Zhang Y, Dai S, Du N, Zhang M and Guo D: Effect of artificial intelligence-aided colonoscopy for adenoma and polyp detection: A meta-analysis of randomized clinical trials. Int J Colorectal Dis. 37:495–506. 2022. View Article : Google Scholar : PubMed/NCBI

64 

Koh FH, Ladlad J, Centre SKHE, Teo EK, Lin CL and Foo FJ: Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: A cohort study in Singapore. Surg Endosc. 37:165–171. 2023. View Article : Google Scholar : PubMed/NCBI

65 

Spadaccini M, Marco A, Franchellucci G, Sharma P, Hassan C and Repici A: Discovering the first US FDA-approved computer-aided polyp detection system. Future Oncol. 18:1405–1412. 2022. View Article : Google Scholar : PubMed/NCBI

66 

Seager A, Sharp L, Hampton JS, Neilson LJ, Lee TJW, Brand A, Evans R, Vale L, Whelpton J and Rees CJ: Trial protocol for COLO-DETECT: A randomized controlled trial of lesion detection comparing colonoscopy assisted by the GI Genius artificial intelligence endoscopy module with standard colonoscopy. Colorectal Dis. 24:1227–1237. 2022. View Article : Google Scholar : PubMed/NCBI

67 

Houwen B, Hassan C, Coupe VMH, Greuter MJE, Hazewinkel Y, Vleugels JLA, Antonelli G, Bustamante-Balén M, Coron E, Cortas GA, et al: Definition of competence standards for optical diagnosis of diminutive colorectal polyps: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy. 54:88–99. 2022. View Article : Google Scholar : PubMed/NCBI

68 

Byrne MF, Chapados N, Soudan F, Oertel C, Linares Perez M, Kelly R, Iqbal N, Chandelier F and Rex DK: Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut. 68:94–100. 2019. View Article : Google Scholar : PubMed/NCBI

69 

Min M, Su S, He W, Bi Y, Ma Z and Liu Y: Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology. Sci Rep. 9:28812019. View Article : Google Scholar : PubMed/NCBI

70 

Aihara H, Saito S, Inomata H, Ide D, Tamai N, Ohya TR, Kato T, Amitani S and Tajiri H: Computer-aided diagnosis of neoplastic colorectal lesions using ‘real-time’ numerical color analysis during autofluorescence endoscopy. Eur J Gastroenterol Hepatol. 25:488–494. 2013. View Article : Google Scholar : PubMed/NCBI

71 

Tischendorf JJ, Gross S, Winograd R, Hecker H, Auer R, Behrens A, Trautwein C, Aach T and Stehle T: Computer-aided classification of colorectal polyps based on vascular patterns: A pilot study. Endoscopy. 42:203–207. 2010. View Article : Google Scholar : PubMed/NCBI

72 

Gross S, Trautwein C, Behrens A, Winograd R, Palm S, Lutz HH, Schirin-Sokhan R, Hecker H, Aach T and Tischendorf JJ: Computer-based classification of small colorectal polyps by using narrow-band imaging with optical magnification. Gastrointest Endosc. 74:1354–1359. 2011. View Article : Google Scholar : PubMed/NCBI

73 

Mori Y, Kudo SE, Misawa M, Saito Y, Ikematsu H, Hotta K, Ohtsuka K, Urushibara F, Kataoka S, Ogawa Y, et al: Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: A prospective study. Ann Intern Med. 169:357–366. 2018. View Article : Google Scholar : PubMed/NCBI

74 

Vinsard DG, Mori Y, Misawa M, Kudo SE, Rastogi A, Bagci U, Rex DK and Wallace MB: Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointest Endosc. 90:55–63. 2019. View Article : Google Scholar : PubMed/NCBI

75 

Spadaccini M, Massimi D, Mori Y, Alfarone L, Fugazza A, Maselli R, Sharma P, Facciorusso A, Hassan C and Repici A: Artificial intelligence-aided endoscopy and colorectal cancer screening. Diagnostics (Basel). 13:11022023. View Article : Google Scholar : PubMed/NCBI

76 

Hassan C, Pickhardt PJ and Rex DK: A resect and discard strategy would improve cost-effectiveness of colorectal cancer screening. Clin Gastroenterol Hepatol. 8:865–869.e1-e3. 2010. View Article : Google Scholar : PubMed/NCBI

77 

Hassan C, Balsamo G, Lorenzetti R, Zullo A and Antonelli G: Artificial intelligence allows leaving-in-situ colorectal polyps. Clin Gastroenterol Hepatol. 20:2505–2513.e4. 2022. View Article : Google Scholar : PubMed/NCBI

78 

Sánchez-Montes C, Sánchez FJ, Bernal J, Córdova H, López-Cerón M, Cuatrecasas M, Rodríguez de Miguel C, García-Rodríguez A, Garcés-Durán R, Pellisé M, et al: Computer-aided prediction of polyp histology on white light colonoscopy using surface pattern analysis. Endoscopy. 51:261–265. 2019. View Article : Google Scholar : PubMed/NCBI

79 

Yoshida N, Inoue K, Tomita Y, Kobayashi R, Hashimoto H, Sugino S, Hirose R, Dohi O, Yasuda H, Morinaga Y, et al: An analysis about the function of a new artificial intelligence, CAD EYE with the lesion recognition and diagnosis for colorectal polyps in clinical practice. Int J Colorectal Dis. 36:2237–2245. 2021. View Article : Google Scholar : PubMed/NCBI

80 

Barbeiro S, Libanio D, Castro R, Dinis-Ribeiro M and Pimentel-Nunes P: Narrow-band imaging: Clinical application in gastrointestinal endoscopy. GE Port J Gastroenterol. 26:40–53. 2018. View Article : Google Scholar : PubMed/NCBI

81 

Tamaki T, Yoshimuta J, Kawakami M, Raytchev B, Kaneda K, Yoshida S, Takemura Y, Onji K, Miyaki R and Tanaka S: Computer-aided colorectal tumor classification in NBI endoscopy using local features. Med Image Anal. 17:78–100. 2013. View Article : Google Scholar : PubMed/NCBI

82 

Wimmer G, Tamaki T, Tischendorf JJ, Hafner M, Yoshida S, Tanaka S and Uhl A: Directional wavelet based features for colonic polyp classification. Med Image Anal. 31:16–36. 2016. View Article : Google Scholar : PubMed/NCBI

83 

Hafner M, Tamaki T, Tanaka S, Uhl A, Wimmer G and Yoshida S: Local fractal dimension based approaches for colonic polyp classification. Med Image Anal. 26:92–107. 2015. View Article : Google Scholar : PubMed/NCBI

84 

Mori Y, Neumann H, Misawa M, Kudo SE and Bretthauer M: Artificial intelligence in colonoscopy-Now on the market. What's next? J Gastroenterol Hepatol. 36:7–11. 2021. View Article : Google Scholar : PubMed/NCBI

85 

Nazarian S, Glover B, Ashrafian H, Darzi A and Teare J: Diagnostic accuracy of artificial intelligence and computer-aided diagnosis for the detection and characterization of colorectal polyps: Systematic review and Meta-analysis. J Med Internet Res. 23:e273702021. View Article : Google Scholar : PubMed/NCBI

86 

Hassan C, Badalamenti M, Maselli R, Correale L, Iannone A, Radaelli F, Rondonotti E, Ferrara E, Spadaccini M, Alkandari A, et al: Computer-aided detection-assisted colonoscopy: Classification and relevance of false positives. Gastrointest Endosc. 92:900–904.e4. 2020. View Article : Google Scholar : PubMed/NCBI

87 

Hsu CM, Hsu CC, Hsu ZM, Chen TH and Kuo T: Intraprocedure artificial intelligence alert system for colonoscopy examination. Sensors (Basel). 23:12112023. View Article : Google Scholar : PubMed/NCBI

88 

Elemento O, Leslie C, Lundin J and Tourassi G: Artificial intelligence in cancer research, diagnosis and therapy. Nat Rev Cancer. 21:747–752. 2021. View Article : Google Scholar : PubMed/NCBI

89 

Wei JW, Suriawinata AA, Vaickus LJ, Ren B, Liu X, Lisovsky M, Tomita N, Abdollahi B, Kim AS, Snover DC, et al: Evaluation of a deep neural network for automated classification of colorectal polyps on histopathologic slides. JAMA Netw Open. 3:e2033982020. View Article : Google Scholar : PubMed/NCBI

90 

Karimi D, Dou H, Warfield SK and Gholipour A: Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. Med Image Anal. 65:1017592020. View Article : Google Scholar : PubMed/NCBI

91 

Huang P, Feng Z, Shu X, Wu A, Wang Z, Hu T, Cao Y, Tu Y and Li Z: A bibliometric and visual analysis of publications on artificial intelligence in colorectal cancer (2002–2022). Front Oncol. 13:10775392023. View Article : Google Scholar : PubMed/NCBI

92 

Clark P, Kim J and Aphinyanaphongs Y: Marketing and US food and drug administration clearance of artificial intelligence and machine learning enabled software in and as medical devices: A systematic review. JAMA Netw Open. 6:e23217922023. View Article : Google Scholar : PubMed/NCBI

93 

Bhinder B, Gilvary C, Madhukar NS and Elemento O: Artificial intelligence in cancer research and precision medicine. Cancer Discov. 11:900–915. 2021. View Article : Google Scholar : PubMed/NCBI

94 

Yin Z, Yao C, Zhang L and Qi S: Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect. Front Med (Lausanne). 10:11280842023. View Article : Google Scholar : PubMed/NCBI

95 

Sorokin M, Zolotovskaia M, Nikitin D, Suntsova M, Poddubskaya E, Glusker A, Garazha A, Moisseev A, Li X, Sekacheva M, et al: Personalized targeted therapy prescription in colorectal cancer using algorithmic analysis of RNA sequencing data. BMC Cancer. 22:11132022. View Article : Google Scholar : PubMed/NCBI

96 

Sanchez-Ibarra HE, Jiang X, Gallegos-Gonzalez EY, Cavazos-Gonzalez AC, Chen Y, Morcos F and Barrera-Saldaña HA: KRAS, NRAS, and BRAF mutation prevalence, clinicopathological association, and their application in a predictive model in Mexican patients with metastatic colorectal cancer: A retrospective cohort study. PLoS One. 15:e02354902020. View Article : Google Scholar : PubMed/NCBI

97 

He K, Liu X, Li M, Li X, Yang H and Zhang H: Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging. BMC Med Imaging. 20:592020. View Article : Google Scholar : PubMed/NCBI

98 

Taguchi N, Oda S, Yokota Y, Yamamura S, Imuta M, Tsuchigame T, Nagayama Y, Kidoh M, Nakaura T, Shiraishi S, et al: CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach. Eur J Radiol. 118:38–43. 2019. View Article : Google Scholar : PubMed/NCBI

99 

Spaander MCW, Zauber AG, Syngal S, Blaser MJ, Sung JJ, You YN and Kuipers EJ: Young-onset colorectal cancer. Nat Rev Dis Primers. 9:212023. View Article : Google Scholar : PubMed/NCBI

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Ding M, Yan J, Chao G and Zhang S: Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review). Oncol Rep 50: 199, 2023.
APA
Ding, M., Yan, J., Chao, G., & Zhang, S. (2023). Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review). Oncology Reports, 50, 199. https://doi.org/10.3892/or.2023.8636
MLA
Ding, M., Yan, J., Chao, G., Zhang, S."Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review)". Oncology Reports 50.5 (2023): 199.
Chicago
Ding, M., Yan, J., Chao, G., Zhang, S."Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review)". Oncology Reports 50, no. 5 (2023): 199. https://doi.org/10.3892/or.2023.8636
Copy and paste a formatted citation
x
Spandidos Publications style
Ding M, Yan J, Chao G and Zhang S: Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review). Oncol Rep 50: 199, 2023.
APA
Ding, M., Yan, J., Chao, G., & Zhang, S. (2023). Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review). Oncology Reports, 50, 199. https://doi.org/10.3892/or.2023.8636
MLA
Ding, M., Yan, J., Chao, G., Zhang, S."Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review)". Oncology Reports 50.5 (2023): 199.
Chicago
Ding, M., Yan, J., Chao, G., Zhang, S."Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review)". Oncology Reports 50, no. 5 (2023): 199. https://doi.org/10.3892/or.2023.8636
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team