This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Machine Learning (2076) Decision Support for Health Professionals (1539) Imaging Informatics (302) Digital Health Reviews (1724) Colon and Rectal Cancer (50) Innovations and Technology in Cancer Care (531)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29682, first published .
Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy

Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy

Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy

Authors of this article:

Chang Seok Bang1, 2, 3, 4 Author Orcid Image ;   Jae Jun Lee3, 4, 5 Author Orcid Image ;   Gwang Ho Baik1, 2 Author Orcid Image
Article Authors Cited by (22) Tweetations (6) Metrics

Journals

  1. Zhang B, Zhu F, Li P, Zhu J. Artificial intelligence-assisted endoscopic ultrasound in the diagnosis of gastrointestinal stromal tumors: a meta-analysis. Surgical Endoscopy 2023;37(3):1649 View
  2. Gong E, Bang C, Lee J, Yang Y, Baik G. Impact of the Volume and Distribution of Training Datasets in the Development of Deep-Learning Models for the Diagnosis of Colorectal Polyps in Endoscopy Images. Journal of Personalized Medicine 2022;12(9):1361 View
  3. 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
  4. Bang C, Lee J, Baik G. Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis. Journal of Medical Internet Research 2021;23(12):e33267 View
  5. Kim H, Gong E, Bang C, Lee J, Suk K, Baik G. Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis. Journal of Personalized Medicine 2022;12(4):644 View
  6. Chetcuti Zammit S, Sidhu R. Artificial intelligence within the small bowel: are we lagging behind?. Current Opinion in Gastroenterology 2022;38(3):307 View
  7. Kim J, Lim S, Kang H, Song J, Yang S, Chung G, Jin E, Choi J, Bae J. Impact of 3-second rule for high confidence assignment on the performance of endoscopists for the real-time optical diagnosis of colorectal polyps. Endoscopy 2023;55(10):945 View
  8. Li J, Wu C, Lee J, Liang R, Soon G, Wang L, Koh X, Koh C, Chew W, Lin K, Thian M, Matthew R, Kim G, Khor C, Fock K, Ang T, So J. Real-World Validation of a Computer-Aided Diagnosis System for Prediction of Polyp Histology in Colonoscopy: A Prospective Multicenter Study. American Journal of Gastroenterology 2023;118(8):1353 View
  9. 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
  10. Imarah A, Najm R, Alnaji H, Al-Hadraawy S, Almulla A, Al-Gazali H. Investigate the role of PIK3CA gene expression in colorectal polyp development. Egyptian Journal of Basic and Applied Sciences 2023;10(1):594 View
  11. Shakir T, Kader R, Bhan C, Chand M. AI in colonoscopy - detection and characterisation of malignant polyps. Artificial Intelligence Surgery 2023:186 View
  12. Seeliger B, Marescaux J. Endoluminal and next generation robotics in colorectal surgery. Seminars in Colon and Rectal Surgery 2024;35(1):101006 View
  13. Zha B, Cai A, Wang G. Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review. JMIR Medical Informatics 2024;12:e56361 View
  14. Parikh M, Tejaswi S, Girotra T, Chopra S, Ramai D, Tabibian J, Jagannath S, Ofosu A, Barakat M, Mishra R, Girotra M. Use of Artificial Intelligence in Lower Gastrointestinal and Small Bowel Disorders. Journal of Clinical Gastroenterology 2025;59(2):121 View
  15. Yin K, Liang H, Guo W, Chen Y, Cui M, Zhang M. Artificial intelligence and early cancer of the digestive tract: New challenges and new futures. World Chinese Journal of Digestology 2025;33(1):1 View
  16. Debellotte O, Dookie R, Rinkoo F, Kar A, Salazar González J, Saraf P, Aflahe Iqbal M, Ghazaryan L, Mukunde A, Khalid A, Olumuyiwa T. Artificial Intelligence and Early Detection of Breast, Lung, and Colon Cancer: A Narrative Review. Cureus 2025 View
  17. Huang C, Song Y, Dong J, Yang F, Guo J, Sun S. Diagnostic performance of AI-assisted endoscopy diagnosis of digestive system tumors: an umbrella review. Frontiers in Oncology 2025;15 View
  18. Shinozaki S, Watanabe J, Kanno T, Yuan Y, Yano T, Yamamoto H. Computer‐aided diagnosis for colorectal polyp in comparison with endoscopists: Systematic review and meta‐analysis. Digestive Endoscopy 2025;37(9):933 View
  19. Aleissa M, Luca M, Singh J, Chitragari G, Drelichman E, Mittal V, Bhullar J. Current status of artificial intelligence colonoscopy on improving adenoma detection rate based on systematic review of multiple metanalysis. Artificial Intelligence in Gastroenterology 2025;6(1) View
  20. Shin Y, Bae J, Kim J, Choi J, Kim Y. A novel approach to overcome black box of AI for optical diagnosis in colonoscopy. Scientific Reports 2025;15(1) View
  21. Gong E, Bang C. Artificial intelligence in colonoscopy: polyp fiction or clinical reality?. Clinical Endoscopy 2025;58(5):784 View
  22. Yan R, Zhou D, Wan Y. A Multi-Scale Structure with Improved Reverse Attention for Polyp Segmentation. Mathematics 2025;13(23):3794 View