Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy: A Systematic Review and Meta-analysis

Hassan, Cesare, Spadaccini, Marco, Mori, Yuichi, Foroutan, Farid, Facciorusso, Antonio, Gkolfakis, Paraskevas, Tziatzios, Georgios, Triantafyllou, Konstantinos +15 more·2023·Annals of Internal Medicine

Cited by (216)

Items 101–200 of 216

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  2. Impact of Availability of Computer-Aided Detection Devices on Adenoma Detection During Colonoscopy: A Cluster Randomized Study
    Jason A. Dominitz, Andrew J. Gawron, Grace McKee, Katherine J. Hoggatt, Tonya R. Kaltenbach · 2026 · Gastroenterology
  3. Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial
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  4. Comparative bibliometric analysis of artificial intelligence-assisted polyp diagnosis and AI-assisted digestive endoscopy: trends and growth in AI gastroenterology (2003–2023)
    Ziye Peng, Xiangyu Wang, Jiaxin Li, Jiayi Sun, Yuwei Wang, Yanru Li, Wen Li, Shuyi Zhang, Ximo Wang, Zhengcun Pei · 2024 · Frontiers in Medicine
  5. A novel colonoscope with an extra-wide field of view increases polyp detection rate compared with standard colonoscope: Prospective model-based trial
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  6. Perceptions of Artificial Intelligence Among Gastroenterologists in Italy: A National Survey
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  9. Postcolonoscopy colorectal cancer: What we need to know in the age of screening and magnifying endoscopy techniques
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  10. Survey on the perceptions of Asian endoscopists to artificial intelligence
    Sabrina Xin Zi Quek, Chieh Sian Koo, Lin Liu, Wai K. Leung, Raymond S. Y. Tang, Hyunsoo Chung, Xuesong Zhang, Katsuro Ichimasa, D. Hong Nga Ngo, Ruter M. Maralit et al. · 2025 · Communications Medicine
  11. Bowel preparation quality and computer-aided detection of adenomas during colonoscopy
    Enrico Muccichini, Emanuele Rondonotti, Marco Spadaccini, Francesco Segatta, Alberto Savino, Silvia Paggi, Niccolò Bina, Luca Brandaleone, Antonio Di Martino, Cesare Hassan et al. · 2025 · Digestive and Liver Disease
  12. Applications of artificial intelligence in surgery: clinical, technical, and governance considerations
    Pietro Mascagni, Deepak Alapatt, Luca Sestini, Tong Yu, Sergio Alfieri, Salvador Morales‐Conde, Nicolas Padoy, Silvana Perretta · 2024 · Cirugía Española
  13. The use of artificial intelligence in colonoscopic evaluations
    Kareem Khalaf, Tommy Rizkala, Alessandro Repici · 2024 · Current Opinion in Gastroenterology
  14. Human–Artificial Intelligence Collaboration: Insights and Lessons from Colonoscopy Artificial Intelligence Integration
    Andrea Cherubini · 2024 · AI in Precision Oncology
  15. Prospects of using artificial intelligence for improving cancer screening efficаcy
    David Georgievich Zaridze · 2024 · Public Health
  16. Understanding Patients’ Current Acceptability of Artificial Intelligence During Colonoscopy for Polyp Detection: A Single-Center Study
    Kathryn A. Schmidt, Shubham Sood, Saam Dilmaghani, Cadman L. Leggett, Ross Dierkhising, Mayank Goyal, Barbara A. Barry, Xuan Zhu, Nayantara Coelho–Prabhu · 2024 · Techniques and Innovations in Gastrointestinal Endoscopy
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  18. Combating Post-colonoscopy Colorectal Cancer: Insight from the Trials and Cohort Studies
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  19. Contemporary Surgical Management of Colorectal Cancer in Lynch Syndrome: Considering the Implications of Known Genotype
    Ashley Jenkin, Kim‐Chi Phan‐Thien · 2025 · ANZ Journal of Surgery
  20. Translation of Artificial Intelligence in Colonoscopy
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  22. Effect of Combination of a Mucosal Exposure Device and Computer-Aided Detection in Diagnostic, Screening, and Surveillance Colonoscopy: An International, Multicenter Study
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  23. AI-assisted detection of high-pitched bruits in arteriovenous fistulas using a digital stethoscope
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  26. Practical utility of linked color imaging in colonoscopy: Updated literature review
    Fumiaki Ishibashi, Sho Suzuki · 2024 · Digestive Endoscopy
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    Aasma Shaukat, Seth D. Crockett · 2024 · The American Journal of Gastroenterology
  30. Applications of artificial intelligence in surgery: clinical, technical, and governance considerations
    Pietro Mascagni, Deepak Alapatt, Luca Sestini, Tong Yu, Sergio Alfieri, Salvador Morales‐Conde, Nicolas Padoy, Silvana Perretta · 2024 · Cirugía Española (English Edition)
  31. Endoscopic approaches to reduce the incidence of interval colon cancer
    Saurabh Chandan · 2025 · Gastrointestinal Endoscopy
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    Dehui Ji, Zhong-An Guan · 2025 · World Journal of Gastrointestinal Surgery
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    Pierce L. Claassen, Dustene L. Johnston, Brian Adkins, Nancy B. Panko, John S. Visger · 2025 · iGIE
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    Chenxia Zhang, Dexin Gong, Xiao Tao, Li Huang, Zehua Dong, Jie Pan, Jiejun Lin, Huang Wei Su, Lianlian Wu · 2026 · Frontiers in Medicine
  36. The potential impact of screening colonoscopy quality on post colonoscopy colorectal cancer: An analysis of linked data
    Jody Parker, Giles Greene, Jared Torkington, Sunil Dolwani · 2026 · Colorectal Disease
  37. Interpretable polyp classification via end-to-end Concept Bottleneck Models with vision-language concept alignment
    Qiunan Ji, Zihe Feng, Xinjuan Liu, Jianyu Hao · 2026 · Frontiers in Artificial Intelligence
  38. Artificial Intelligence Use in Menopause Care
    Melissa Spring Wong, Sarah Madhu Temkin · 2026 · Current Obstetrics and Gynecology Reports
  39. Cost-effectiveness and environmental impact of artificial intelligence-assisted colonoscopy with the resect-and-discard strategy: a microsimulation study
    Lyndon V. Hernandez, Michael B. Wallace, Daniel A. Von Renteln, Jodi D. Sherman, Manoop S. Bhutani, Nalini M. Guda, Wendell Espinosa, Dominic Klyve, Theodore Manahan, Heiko Pohl · 2026 · Endoscopy
  40. From Algorithmic Performance to Hospital Value: A Narrative Review of Clinical Artificial Intelligence
    Christina Morfaki · 2026 · Hospitals
  41. Gastroenterology/Hepatology: What You May Have Missed in 2023
    Sama Anvari, Kayla Dadgar, Ciarán Galts, Michael Bretthauer · 2024 · Annals of Internal Medicine
  42. The power of AI on aggregating, managing, and curating medical knowledge for global surgical education
    Daichi Kitaguchi, Masaaki Ito · 2024 · Global Surgical Education - Journal of the Association for Surgical Education
  43. Request for Clarification on Sample Size Calculation and Statistical Analysis
    Mohammed El-Dallal, Rajan Lamichhane, Ahmed Sherif, Wesam Frandah · 2024 · The American Journal of Gastroenterology
  44. Computer aided polyp detection has limited clinical efficacy
    Samantha M. Linhares, Kurt S. Schultz, Anne K. Mongiu · 2025 · BMJ
  45. Is the use of artificial intelligence the main stage for detecting polyps during colonoscopy?
    Vladislav Vladimirovich Tsukanov, Alexander Viktorovich Vasyutin, Edward V Kasparov, Yu.L. Tonkikh · 2025 · World Journal of Gastroenterology
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    Mattia Andreoletti, Berkay Senkalfa, Alessandro Blasimme · 2024 · medRxiv
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    Isakov Va · 2025 · World Journal of Gastroenterology
  48. Null Effect of Computer‐Aided Detection in Colonoscopy: News or Illusion?
    Cesare Hassan, Yuichi Mori, Tommy Rizkala · 2025 · Digestive Endoscopy
  49. From Tool to Team Member: A Second Set of Eyes for Polyp Detection
    Dennis Legen Shung · 2023 · Annals of Internal Medicine
  50. Artificial intelligence-aided colonoscopy did not improve outcomes in Lynch syndrome
    Robert van den Heuvel · 2023
  51. Artificial intelligence-assisted assessment for Forrest classification of peptic ulcer bleeding: hype or reality?
    Wai K. Leung · 2024 · Endoscopy
  52. Understanding Patients’ Current Acceptability of Artificial Intelligence During Colonoscopy for Polyp Detection: A Single Center Study
    K. Schmidt, S. Sood, Saam Dilmaghani, M. Goyal, B. Barry, Xin Zhu, Nayantara Coelho–Prabhu · 2024 · Endoscopy
  53. Evaluation of Artificial Intelligence System for Adenoma Detection in Lynch Syndrome. A Randomized, Parallel, Multicenter, Controlled Trial. TIMELY Study
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  54. Computer-aided detection for colorectal neoplasia in randomized and non-randomized studies
    Yuichi Mori, Harsh K. Patel, Alessandro Repici, Douglas Kevin Rex, Prateek Sharma, Cesare Hassan · 2024 · Endoscopy International Open
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    Yusuke Okamoto, Tsuyoshi Ozawa, Junichi Shibata, Toshiyuki Yoshio, Toshiaki Hirasawa, Junko Fujisaki, Takushi Gotouda, Tomonori Tada · 2024 · Health Evaluation and Promotion
  56. Artificial intelligence-assisted adenoma detection in people with Lynch syndrome
    Carol Ann Burke, Carole Macaron, Aparajita Singh · 2024 · The Lancet. Gastroenterology & hepatology
  57. Building Machine Learning Models in Gastrointestinal Endoscopy
    Giulio Antonelli, Tom Eelbode, Touka Elsaman, Mrigya Sharma, Raf Bisschops, Cesare Hassan · 2024 · Gastrointestinal Endoscopy Clinics of North America
  58. Response to El-Dallal et al
    Thomas Ka-Luen Lui, Wai K. Leung · 2024 · The American Journal of Gastroenterology
  59. Response
    Sandra Baile‐Maxía, Rodrigo Jover · 2024 · Gastrointestinal Endoscopy
  60. Endoscopy-assisted lightweight diagnosis system based on transformers for colon polyp detection
    Weiming Fan, Jiahui Yu, Zhaojie Ju · 2024 · Optoelectronics Letters
  61. Artificial intelligence and early cancer of the digestive tract: New challenges and new futures
    Kun Yin, Hao Liang, Wen Guo, Yaxin Chen, Manli Cui, Mingxin Zhang · 2025 · World Chinese Journal of Digestology
  62. Eye movement patterns associated with colorectal adenoma detection: Post hoc analysis of randomized controlled trial
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  63. Utility of artificial intelligence in colorectal cancer screening colonoscopies for the detection (CADe) and histological prediction (CADx) of polyps: a randomized clinical trial
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  66. Role of Artificial Intelligence in Improving Quality of Colonoscopy
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  68. Where technology meets technique: computer-aided detection and mucosal exposure device to improve adenoma detection
    James Weiquan Li · 2025 · Clinical Endoscopy
  69. Endoscopic AI: Current Status, Future Prospects, and the Challenges of Societal Implementation of Japan-originated Innovations
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  71. Response to “Comments on the impact of artificial intelligence on the adenoma detection rate: comparison between experienced, intermediate and trainee endoscopists’ adenoma detection rate”
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  72. Advancing Colonoscopy Diagnosis for Polyp Recognition Using Fastai and EfficientNet Deep Learning
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  73. Multicenter Validation of a ResNet50-Based Deep Convolutional Network for Endoscopic Grading of Ulcerative Colitis Severity
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  74. Artificial intelligence and big data analytics based on gastrointestinal diseases
    Chinedu Chamberlin Obasi, Alma Tamunonengiofori Banigo · 2025 · Elsevier eBooks
  75. Optimizing Colorectal Polyp Screening: A Novel Artificial Intelligence‐Assisted Colonoscopy Diagnostic System Based on NICE Classification
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  76. Computer-aided detection with or without mucosal-exposure devices in colonoscopy: a systematic review and meta-analysis with trial sequential analysis
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  78. Incremental value of mucosal exposure device to computer-aided detection in colonoscopy: A meta-analysis and trial sequential analysis
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