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Oct 7, 2020 (publication date) through Nov 22, 2024
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Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Attardo S, Chandrasekar VT, Spadaccini M, Maselli R, Patel HK, Desai M, Capogreco A, Badalamenti M, Galtieri PA, Pellegatta G, Fugazza A, Carrara S, Anderloni A, Occhipinti P, Hassan C, Sharma P, Repici A. Artificial intelligence technologies for the detection of colorectal lesions: The future is now. World J Gastroenterol 2020; 26(37): 5606-5616 [PMID: 33088155 DOI: 10.3748/wjg.v26.i37.5606] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v26/i37/5606.htm |
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Sarah Tham, Frederick H. Koh, Jasmine Ladlad, Koy-Min Chue, Cui-Li Lin, Eng-Kiong Teo, Fung-Joon Foo. The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists’ perceptions thereof. Annals of Coloproctology 2023; 39(5): 385 doi: 10.3393/ac.2022.00878.0125
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Eun Kyung Ku, Soon Ki Min, Dong Hyun Shin, Yoo Seung Chung, Young Jae Kim, Kwang Gi Kim, Joon-Hyop Lee. Artificial Intelligence for Intraoperative Guidance: Using an Object Detection Model in Conjunction With Data Augmentation to Detect Parathyroid Glands During Thyroidectomy. SSRN Electronic Journal 2021; doi: 10.2139/ssrn.3916131
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Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Chih-Da Yao, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen. Deep learning-based endoscopic anatomy classification: an accelerated approach for data preparation and model validation. Surgical Endoscopy 2022; 36(6): 3811 doi: 10.1007/s00464-021-08698-2
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Mihaela Luca, Adrian Ciobanu, Valentina Emilia Balas. Polyp detection in video colonoscopy using deep learning. Journal of Intelligent & Fuzzy Systems 2022; 43(2): 1751 doi: 10.3233/JIFS-219276
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Marco Spadaccini, Davide Massimi, Yuichi Mori, Ludovico Alfarone, Alessandro Fugazza, Roberta Maselli, Prateek Sharma, Antonio Facciorusso, Cesare Hassan, Alessandro Repici. Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening. Diagnostics 2023; 13(6): 1102 doi: 10.3390/diagnostics13061102
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Harshavardhan Rao B, Judy A Trieu, Priya Nair, Gilad Gressel, Mukund Venu, Rama P Venu. Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions. Artificial Intelligence in Gastrointestinal Endoscopy 2022; 3(3): 16-30 doi: 10.37126/aige.v3.i3.16
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Marco Spadaccini, Joel Troya, Kareem Khalaf, Antonio Facciorusso, Roberta Maselli, Alexander Hann, Alessandro Repici. Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going?. Digestive and Liver Disease 2024; 56(7): 1148 doi: 10.1016/j.dld.2024.01.203
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Hsu-Heng Yen, Ping-Yu Wu, Pei-Yuan Su, Chia-Wei Yang, Yang-Yuan Chen, Mei-Fen Chen, Wen-Chen Lin, Cheng-Lun Tsai, Kang-Ping Lin. Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease. Journal of Medical and Biological Engineering 2021; 41(4): 504 doi: 10.1007/s40846-021-00608-0
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Marco Spadaccini, Cesare Hassan, Ludovico Alfarone, Leonardo Da Rio, Roberta Maselli, Silvia Carrara, Piera Alessia Galtieri, Gaia Pellegatta, Alessandro Fugazza, Glenn Koleth, James Emmanuel, Andrea Anderloni, Yuichi Mori, Michael B. Wallace, Prateek Sharma, Alessandro Repici. Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study. Gastrointestinal Endoscopy 2022; 95(5): 975 doi: 10.1016/j.gie.2021.12.031
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S. Nazarian, H.F Koo, E. Carrington, A. Darzi, N. Patel. The future of endoscopy – what are the thoughts on artificial intelligence?. Journal of Experimental & Theoretical Artificial Intelligence 2024; 36(8): 1875 doi: 10.1080/0952813X.2023.2178516
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Gürkan Ünsal, Akhilanand Chaurasia, Nurullah Akkaya, Nadler Chen, Ragda Abdalla-Aslan, Revan Birke Koca, Kaan Orhan, Jelena Roganovic, Prashanti Reddy, Dian Agustin Wahjuningrum. Deep convolutional neural network algorithm for the automatic segmentation of oral potentially malignant disorders and oral cancers. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2023; 237(6): 719 doi: 10.1177/09544119231176116
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Joseph C Norton, James W Martin, Conchubhair Winters, Bruno Scaglioni, Keith L Obstein, Venkataraman Subramanian, Pietro Valdastri. The adult large bowel: describing environment morphology for effective biomedical device development. Progress in Biomedical Engineering 2024; 6(3): 032003 doi: 10.1088/2516-1091/ad6dbf
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Ji Hyun Kim, Seung-Joo Nam, Sung Chul Park. Usefulness of artificial intelligence in gastric neoplasms. World Journal of Gastroenterology 2021; 27(24): 3543-3555 doi: 10.3748/wjg.v27.i24.3543
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Harshavardhan B. Rao, Nandakumar Bidare Sastry, Rama P. Venu, Preetiparna Pattanayak. The role of artificial intelligence based systems for cost optimization in colorectal cancer prevention programs. Frontiers in Artificial Intelligence 2022; 5 doi: 10.3389/frai.2022.955399
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| 18 |
Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Yu-Yao Chang, Siou-Ping Huang, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen. Development and validation of a deep learning-based algorithm for colonoscopy quality assessment. Surgical Endoscopy 2022; 36(9): 6446 doi: 10.1007/s00464-021-08993-y
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Xu Song, Jun Li, Jiang Zhu, Yun-Fei Kong, Yu-Hang Zhou, Zi-Kun Wang, Jin Zhang. Predictors of early colorectal cancer metastasis to lymph nodes: providing rationale for therapy decisions. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1371599
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