Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27370, first published .
Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Journals

  1. Quero G, Mascagni P, Kolbinger F, Fiorillo C, De Sio D, Longo F, Schena C, Laterza V, Rosa F, Menghi R, Papa V, Tondolo V, Cina C, Distler M, Weitz J, Speidel S, Padoy N, Alfieri S. Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives. Cancers 2022;14(15):3803 View
  2. Mansur A, Saleem Z, Elhakim T, Daye D. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions. Frontiers in Oncology 2023;13 View
  3. Sivananthan A, Nazarian S, Ayaru L, Patel K, Ashrafian H, Darzi A, Patel N. Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis. Clinical Endoscopy 2022;55(3):355 View
  4. Larsen S, Mori Y. Artificial intelligence in colonoscopy: A review on the current status. DEN Open 2022;2(1) View
  5. Shao L, Yan X, Liu C, Guo C, Cai B. Effects of ai-assisted colonoscopy on adenoma miss rate/adenoma detection rate: A protocol for systematic review and meta-analysis. Medicine 2022;101(46):e31945 View
  6. Nazarian S, Koo H, Carrington E, Darzi A, Patel N. The future of endoscopy – what are the thoughts on artificial intelligence?. Journal of Experimental & Theoretical Artificial Intelligence 2023:1 View
  7. Narendra A. Optimal Noninvasive Colon Cancer Screening Modality in Patients Not Receiving Colonoscopy. Advances in Aging Research 2022;11(01):1 View
  8. Galati J, Duve R, O'Mara M, Gross S. Artificial intelligence in gastroenterology: A narrative review. Artificial Intelligence in Gastroenterology 2022;3(5):117 View
  9. Schoenherr J. Folkmedical Technologies and the Sociotechnical Systems of Healthcare. IEEE Technology and Society Magazine 2022;41(3):38 View
  10. Katrevula A, Katukuri G, Singh A, Inavolu P, Rughwani H, Alla S, Ramchandani M, Duvvur N. Real-World Experience of AI-Assisted Endocytoscopy Using EndoBRAIN—An Observational Study from a Tertiary Care Center. Journal of Digestive Endoscopy 2023;14(01):003 View
  11. Cheema H, Tharian B. Big Brother Is Watching: Artificial Intelligence in Endoscopy — Hype or Reality?. NEJM Evidence 2022;1(6) View
  12. Huang D, Shen J, Hong J, Zhang Y, Dai S, Du N, Zhang M, Guo D. Effect of artificial intelligence-aided colonoscopy for adenoma and polyp detection: a meta-analysis of randomized clinical trials. International Journal of Colorectal Disease 2022;37(3):495 View
  13. Hu W, Chen H, Liu W, Li X, Sun H, Huang X, Grzegorzek M, Li C. A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer. Frontiers in Medicine 2022;9 View
  14. Goyal H, Sherazi S, Mann R, Gandhi Z, Perisetti A, Aziz M, Chandan S, Kopel J, Tharian B, Sharma N, Thosani N. Scope of Artificial Intelligence in Gastrointestinal Oncology. Cancers 2021;13(21):5494 View
  15. Awidi M, Bagga A. Artificial intelligence and machine learning in colorectal cancer. Artificial Intelligence in Gastrointestinal Endoscopy 2022;3(3):31 View
  16. den Boer R, de Jongh C, Huijbers W, Jaspers T, Pluim J, van Hillegersberg R, Van Eijnatten M, Ruurda J. Computer-aided anatomy recognition in intrathoracic and -abdominal surgery: a systematic review. Surgical Endoscopy 2022;36(12):8737 View
  17. Taber P, Armin J, Orozco G, Del Fiol G, Erdrich J, Kawamoto K, Israni S. Artificial Intelligence and Cancer Control: Toward Prioritizing Justice, Equity, Diversity, and Inclusion (JEDI) in Emerging Decision Support Technologies. Current Oncology Reports 2023;25(5):387 View
  18. Vobugari N, Raja V, Sethi U, Gandhi K, Raja K, Surani S. Advancements in Oncology with Artificial Intelligence—A Review Article. Cancers 2022;14(5):1349 View
  19. Zimmermann-Fraedrich K, Rösch T. Artificial intelligence and the push for small adenomas: all we need?. Endoscopy 2023;55(04):320 View
  20. Gimeno-García A, Hernández-Pérez A, Nicolás-Pérez D, Hernández-Guerra M. Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?. Cancers 2023;15(8):2193 View
  21. Mehta A, Kumar H, Yazji K, Wireko A, Sivanandan Nagarajan J, Ghosh B, Nahas A, Morales Ojeda L, Anand A, Sharath M, Huang H, Garg T, Isik A. Effectiveness of artificial intelligence-assisted colonoscopy in early diagnosis of colorectal cancer: a systematic review. International Journal of Surgery 2023;109(4):946 View
  22. Galati J, Lin K, Gross S. Recent advances in devices and technologies that might prove revolutionary for colonoscopy procedures. Expert Review of Medical Devices 2023;20(12):1087 View
  23. Ma Y. The potential application of ChatGPT in gastrointestinal pathology. Gastroenterology & Endoscopy 2023;1(3):130 View
  24. Mithany R, Aslam S, Abdallah S, Abdelmaseeh M, Gerges F, Mohamed M, Manasseh M, Wanees A, Shahid M, Khalil M, Daniel N. Advancements and Challenges in the Application of Artificial Intelligence in Surgical Arena: A Literature Review. Cureus 2023 View
  25. Sinonquel P, Vermeire S, Maes F, Bisschops R. Advanced Imaging in Gastrointestinal Endoscopy: A Literature Review of the Current State of the Art. GE - Portuguese Journal of Gastroenterology 2023;30(3):175 View
  26. Molder A, Balaban D, Molder C, Jinga M, Robin A. Computer-Based Diagnosis of Celiac Disease by Quantitative Processing of Duodenal Endoscopy Images. Diagnostics 2023;13(17):2780 View
  27. Farhad M, Masud M, Beg A, Ahmad A, Ahmed L. A Review of Medical Diagnostic Video Analysis Using Deep Learning Techniques. Applied Sciences 2023;13(11):6582 View
  28. Li W, Lu W, Chu J, Fan F. LACINet: A Lesion-Aware Contextual Interaction Network for Polyp Segmentation. IEEE Transactions on Instrumentation and Measurement 2023;72:1 View
  29. Young E, Edwards L, Singh R. The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization. Cancers 2023;15(21):5126 View
  30. Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior K, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63 View
  31. Seow-En I, Khor S, Zhao Y, Ng Y, Wei Tan E. Real-time artificial intelligence-assisted colonoscopy and the effect of endoscopist experience on polyp detection rates at a tertiary referral center. World Journal of Colorectal Surgery 2023;12(3):59 View
  32. Yadav A, Kumar A. Artificial intelligence in rectal cancer: What is the future?. WArtificial Intelligence in Cancer 2023;4(2):11 View
  33. Afzalpurkar S, Goenka M, Kochhar R. Impact of Artificial Intelligence on Colorectal Polyp Detection and Characterization. Journal of Digestive Endoscopy 2023;14(04):221 View
  34. Noori J, Yeung T, Pham T, Warrier S, Behrenbruch C, Heriot A. Revolutionizing colorectal surgery with artificial intelligence: not just a pretty robot. ANZ Journal of Surgery 2024;94(3):295 View
  35. Ye B, Shu Z, Wang B, Wang S, Fu Y, Zhang L, Qi B, Dwivedi A, Liu S. Attention Mechanism Guided SE + ResNet-H Model for Gastrointestinal Endoscopy Image Classification. IEEE Transactions on Instrumentation and Measurement 2024;73:1 View
  36. Davila-Piñón P, Nogueira-Rodríguez A, Díez-Martín A, Codesido L, Herrero J, Puga M, Rivas L, Sánchez E, Fdez-Riverola F, Glez-Peña D, Reboiro-Jato M, López-Fernández H, Cubiella J. Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system. Frontiers in Oncology 2024;14 View
  37. Sezgin E, McKay I. Behavioral health and generative AI: a perspective on future of therapies and patient care. npj Mental Health Research 2024;3(1) View

Books/Policy Documents

  1. Srivastava A, Rai S, Singh M, Srivastava S. Computational Intelligence in Oncology. View
  2. Mehta A, Andrew Awuah W, Asri S, Jawad Zahid M, Cheng Ng J, Patel H, Huang H, Candelario K, Anand A, Rahman T, Sikora V, Isik A. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare. View