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Nicola Olivari 1 Article
Artificial Intelligence in Lower Gastrointestinal Endoscopy: The Current Status and Future Perspective
Sebastian Manuel Milluzzo, Paola Cesaro, Leonardo Minelli Grazioli, Nicola Olivari, Cristiano Spada
Clin Endosc 2021;54(3):329-339.   Published online January 13, 2021
DOI: https://doi.org/10.5946/ce.2020.082
AbstractAbstract PDFPubReaderePub
The present manuscript aims to review the history, recent advances, evidence, and challenges of artificial intelligence (AI) in colonoscopy. Although it is mainly focused on polyp detection and characterization, it also considers other potential applications (i.e., inflammatory bowel disease) and future perspectives. Some of the most recent algorithms show promising results that are similar to human expert performance. The integration of AI in routine clinical practice will be challenging, with significant issues to overcome (i.e., regulatory, reimbursement). Medico-legal issues will also need to be addressed. With the exception of an AI system that is already available in selected countries (GI Genius; Medtronic, Minneapolis, MN, USA), the majority of the technology is still in its infancy and has not yet been proven to reach a sufficient diagnostic performance to be adopted in the clinical practice. However, larger players will enter the arena of AI in the next few months.

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  • “AI for the new GI”: What role does artificial intelligence have in early colonoscopy training?
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    Sanjay R.V. Gadi, Sriya S. Muralidharan, Jeremy R. Glissen Brown
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    Expert Review of Medical Devices.2024; 21(5): 359.     CrossRef
  • The Role of Artificial Intelligence in the Diagnosis of Melanoma
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    Surgical Endoscopy.2023; 37(1): 165.     CrossRef
  • Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging
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    Biomedical Optics Express.2023; 14(8): 4383.     CrossRef
  • Detecting colorectal lesions with image-enhanced endoscopy: an updated review from clinical trials
    Mizuki Nagai, Sho Suzuki, Yohei Minato, Fumiaki Ishibashi, Kentaro Mochida, Ken Ohata, Tetsuo Morishita
    Clinical Endoscopy.2023; 56(5): 553.     CrossRef
  • Accuracy of polyp characterization by artificial intelligence and endoscopists: a prospective, non-randomized study in a tertiary endoscopy center
    Sebastian Baumer, Kilian Streicher, Saleh A. Alqahtani, Dominic Brookman-Amissah, Monika Brunner, Christoph Federle, Klaus Muehlenberg, Lukas Pfeifer, Andrea Salzberger, Wolfgang Schorr, Jozef Zustin, Oliver Pech
    Endoscopy International Open.2023; 11(09): E818.     CrossRef
  • AI-powered medical devices for practical clinicians including the diagnosis of colorectal polyps
    Donghwan Kim, Eunsun Kim
    Journal of the Korean Medical Association.2023; 66(11): 658.     CrossRef
  • Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care
    Uday C. Ghoshal, Saikat Chakrabarti, Mahesh K. Goenka
    Journal of Digestive Endoscopy.2023; 14(04): 239.     CrossRef
  • Diagnostic accuracy of a novel artificial intelligence system for adenoma detection in daily practice: a prospective nonrandomized comparative study
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    Endoscopy.2022; 54(05): 465.     CrossRef
  • Development and validation of a deep learning-based algorithm for colonoscopy quality assessment
    Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Yu-Yao Chang, Siou-Ping Huang, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen
    Surgical Endoscopy.2022; 36(9): 6446.     CrossRef
  • Innovation in Gastroenterology—Can We Do Better?
    Eyal Klang, Shelly Soffer, Abraham Tsur, Eyal Shachar, Adi Lahat
    Biomimetics.2022; 7(1): 33.     CrossRef
  • Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases
    Suliman Mohamed Fati, Ebrahim Mohammed Senan, Ahmad Taher Azar
    Sensors.2022; 22(11): 4079.     CrossRef
  • No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification
    Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Seung In Seo, Young Joo Yang, Gwang Ho Baik, Jong Wook Kim
    Journal of Personalized Medicine.2022; 12(6): 963.     CrossRef
  • 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
    Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Young Joo Yang, Gwang Ho Baik
    Journal of Personalized Medicine.2022; 12(9): 1361.     CrossRef
  • Preparation of image databases for artificial intelligence algorithm development in gastrointestinal endoscopy
    Chang Bong Yang, Sang Hoon Kim, Yun Jeong Lim
    Clinical Endoscopy.2022; 55(5): 594.     CrossRef
  • Artificial Intelligence-Based Colorectal Polyp Histology Prediction: High Accuracy in Larger Polyps
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    Clinical Endoscopy.2022; 55(1): 45.     CrossRef
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    Cells.2022; 11(24): 3965.     CrossRef
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    European Journal of Gastroenterology & Hepatology.2021; 33(7): 949.     CrossRef
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    Diagnostics.2021; 11(11): 2123.     CrossRef
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