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ORIGINAL ARTICLE

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy

Liu Wen-Na, Zhang Yang-Yang, Bian Xu-Qiang, Wang Li-Juan, Yang Qiang, Zhang Xi-Dou, Huang Jin

Year : 2020| Volume: 26| Issue : 1 | Page no: 13-19

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1 Artificial intelligence in colonoscopy: A review on the current status
Solveig Linnea Veen Larsen, Yuichi Mori
DEN Open. 2022; 2(1)
[Pubmed]  [Google Scholar] [DOI]
2 Detection of colorectal lesions during colonoscopy
Hiroaki Ikematsu, Tatsuro Murano, Kensuke Shinmura
DEN Open. 2022; 2(1)
[Pubmed]  [Google Scholar] [DOI]
3 Implementation of artificial intelligence in upper gastrointestinal endoscopy
Sayaka Nagao, Yasuhiro Tani, Junichi Shibata, Yosuke Tsuji, Tomohiro Tada, Ryu Ishihara, Mitsuhiro Fujishiro
DEN Open. 2022; 2(1)
[Pubmed]  [Google Scholar] [DOI]
4 Pilot study of a new freely available computer-aided polyp detection system in clinical practice
Thomas J. Lux, Michael Banck, Zita Saßmannshausen, Joel Troya, Adrian Krenzer, Daniel Fitting, Boban Sudarevic, Wolfram G. Zoller, Frank Puppe, Alexander Meining, Alexander Hann
International Journal of Colorectal Disease. 2022;
[Pubmed]  [Google Scholar] [DOI]
5 The application of artificial intelligence in improving colonoscopic adenoma detection rate: Where are we and where are we going
Peiling Gan, Peiling Li, Huifang Xia, Xian Zhou, Xiaowei Tang
Gastroenterología y Hepatología. 2022;
[Pubmed]  [Google Scholar] [DOI]
6 Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study
Miguel Areia, Yuichi Mori, Loredana Correale, Alessandro Repici, Michael Bretthauer, Prateek Sharma, Filipe Taveira, Marco Spadaccini, Giulio Antonelli, Alanna Ebigbo, Shin-ei Kudo, Julia Arribas, Ishita Barua, Michal F Kaminski, Helmut Messmann, Douglas K Rex, Mário Dinis-Ribeiro, Cesare Hassan
The Lancet Digital Health. 2022;
[Pubmed]  [Google Scholar] [DOI]
7 Strengths and Weaknesses of an Artificial Intelligence Polyp Detection Program as Assessed by a High-Detecting Endoscopist
Douglas K. Rex, Yuichi Mori, Prateek Sharma, Rachel E. Lahr, Krishna C. Vemulapalli, Cesare Hassan
Gastroenterology. 2022;
[Pubmed]  [Google Scholar] [DOI]
8 A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems
Daniel Fitting, Adrian Krenzer, Joel Troya, Michael Banck, Boban Sudarevic, Markus Brand, Wolfgang Böck, Wolfram G. Zoller, Thomas Rösch, Frank Puppe, Alexander Meining, Alexander Hann
Scandinavian Journal of Gastroenterology. 2022; : 1
[Pubmed]  [Google Scholar] [DOI]
9 Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study
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
Gastrointestinal Endoscopy. 2022;
[Pubmed]  [Google Scholar] [DOI]
10 Polypectomy for Diminutive and Small Colorectal Polyps
Melissa Zarandi-Nowroozi, Roupen Djinbachian, Daniel von Renteln
Gastrointestinal Endoscopy Clinics of North America. 2022;
[Pubmed]  [Google Scholar] [DOI]
11 Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications
JW Li, LM Wang, TL Ang
Singapore Medical Journal. 2022; 63(3): 118
[Pubmed]  [Google Scholar] [DOI]
12 Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets
Alba Nogueira-Rodríguez, Miguel Reboiro-Jato, Daniel Glez-Peńa, Hugo López-Fernández
Diagnostics. 2022; 12(4): 898
[Pubmed]  [Google Scholar] [DOI]
13 Discovering the first FDA-approved computer-aided polyp detection system
Marco Spadaccini, Alessandro De Marco, Gianluca Franchellucci, Prateek Sharma, Cesare Hassan, Alessandro Repici
Future Oncology. 2022;
[Pubmed]  [Google Scholar] [DOI]
14 Artificial Intelligence-Aid Colonoscopy Vs. Conventional Colonoscopy for Polyp and Adenoma Detection: A Systematic Review of 7 Discordant Meta-Analyses
Hui Pan, Mingyan Cai, Qi Liao, Yong Jiang, Yige Liu, Xiaolong Zhuang, Ying Yu
Frontiers in Medicine. 2022; 8
[Pubmed]  [Google Scholar] [DOI]
15 Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy
Scott B Minchenberg, Trent Walradt, Jeremy R Glissen Brown
World Journal of Gastrointestinal Oncology. 2022; 14(5): 989
[Pubmed]  [Google Scholar] [DOI]
16 Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis
Arun Sivananthan, Scarlet Nazarian, Lakshmana Ayaru, Kinesh Patel, Hutan Ashrafian, Ara Darzi, Nisha Patel
Clinical Endoscopy. 2022; 55(3): 355
[Pubmed]  [Google Scholar] [DOI]
17 Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection
Lei Xu, Xinjue He, Jianbo Zhou, Jie Zhang, Xinli Mao, Guoliang Ye, Qiang Chen, Feng Xu, Jianzhong Sang, Jun Wang, Yong Ding, Youming Li, Chaohui Yu
Cancer Medicine. 2021; 10(20): 7184
[Pubmed]  [Google Scholar] [DOI]
18 Artificial Intelligence in Lower Gastrointestinal Endoscopy: The Current Status and Future Perspective
Sebastian Manuel Milluzzo, Paola Cesaro, Leonardo Minelli Grazioli, Nicola Olivari, Cristiano Spada
Clinical Endoscopy. 2021; 54(3): 329
[Pubmed]  [Google Scholar] [DOI]
19 Artificial intelligence in colonoscopy
Joel Joseph, Ella Marie LePage, Catherine Phillips Cheney, Rishi Pawa
World Journal of Gastroenterology. 2021; 27(29): 4802
[Pubmed]  [Google Scholar] [DOI]
20 Artificial intelligence in gastroenterology: A state-of-the-art review
Paul T Kröner, Megan ML Engels, Benjamin S Glicksberg, Kipp W Johnson, Obaie Mzaik, Jeanin E van Hooft, Michael B Wallace, Hashem B El-Serag, Chayakrit Krittanawong
World Journal of Gastroenterology. 2021; 27(40): 6794
[Pubmed]  [Google Scholar] [DOI]
21 Artificial intelligence-assisted colonoscopy: A review of current state of practice and research
Mahsa Taghiakbari, Yuichi Mori, Daniel von Renteln
World Journal of Gastroenterology. 2021; 27(47): 8103
[Pubmed]  [Google Scholar] [DOI]
22 Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era
Athanasia Mitsala, Christos Tsalikidis, Michail Pitiakoudis, Constantinos Simopoulos, Alexandra K. Tsaroucha
Current Oncology. 2021; 28(3): 1581
[Pubmed]  [Google Scholar] [DOI]
23 Computer-Aided Detection False Positives in Colonoscopy
Yu-Hsi Hsieh, Chia-Pei Tang, Chih-Wei Tseng, Tu-Liang Lin, Felix W. Leung
Diagnostics. 2021; 11(6): 1113
[Pubmed]  [Google Scholar] [DOI]
24 Artificial intelligence and colorectal cancer: How far can you go?
Rita Alloro, Emanuele Sinagra
WArtificial Intelligence in Cancer. 2021; 2(2): 7
[Pubmed]  [Google Scholar] [DOI]
25 Colonoscopy and artificial intelligence: Bridging the gap or a gap needing to be bridged?
Tiing Leong Ang, James Weiquan Li
Artificial Intelligence in Gastrointestinal Endoscopy. 2021; 2(2): 36
[Pubmed]  [Google Scholar] [DOI]
26 Utility of artificial intelligence in colonoscopy
Niel Shah, Abhilasha Jyala, Harish Patel, Jasbir Makker
Artificial Intelligence in Gastrointestinal Endoscopy. 2021; 2(3): 78
[Pubmed]  [Google Scholar] [DOI]
27 Utility of artificial intelligence in colonoscopy
Niel Shah, Abhilasha Jyala, Harish Patel, Jasbir Makker
Artificial Intelligence in Gastrointestinal Endoscopy. 2021; 2(3): 79
[Pubmed]  [Google Scholar] [DOI]
28 Artificial intelligence and colonoscopy - enhancements and improvements
Byung Soo Yoo, Steve M D'Souza, Kevin Houston, Ankit Patel, James Lau, Alsiddig Elmahdi, Parth J Parekh, David Johnson
Artificial Intelligence in Gastrointestinal Endoscopy. 2021; 2(4): 157
[Pubmed]  [Google Scholar] [DOI]
29 Artificial intelligence in polyp detection - where are we and where are we headed?
Kristen E Dougherty, Vatche J Melkonian, Grace A Montenegro
Artificial Intelligence in Gastrointestinal Endoscopy. 2021; 2(6): 211
[Pubmed]  [Google Scholar] [DOI]
30 Artificial intelligence for identification and characterization of colonic polyps
Nasim Parsa, Michael F. Byrne
Therapeutic Advances in Gastrointestinal Endoscopy. 2021; 14: 2631774521
[Pubmed]  [Google Scholar] [DOI]
31 Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review
Jiamin Yin, Kee Yuan Ngiam, Hock Hai Teo
Journal of Medical Internet Research. 2021; 23(4): e25759
[Pubmed]  [Google Scholar] [DOI]
32 Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis
Scarlet Nazarian, Ben Glover, Hutan Ashrafian, Ara Darzi, Julian Teare
Journal of Medical Internet Research. 2021; 23(7): e27370
[Pubmed]  [Google Scholar] [DOI]
33 Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis
Marco Spadaccini, Andrea Iannone, Roberta Maselli, Matteo Badalamenti, Madhav Desai, Viveksandeep Thoguluva Chandrasekar, Harsh K Patel, Alessandro Fugazza, Gaia Pellegatta, Piera Alessia Galtieri, Gianluca Lollo, Silvia Carrara, Andrea Anderloni, Douglas K Rex, Victor Savevski, Michael B Wallace, Pradeep Bhandari, Thomas Roesch, Ian M Gralnek, Prateek Sharma, Cesare Hassan, Alessandro Repici
The Lancet Gastroenterology & Hepatology. 2021; 6(10): 793
[Pubmed]  [Google Scholar] [DOI]
34 Development of multi-class computer-aided diagnostic systems using the NICE/JNET classifications for colorectal lesions
Yuki Okamoto, Shigeto Yoshida, Seiji Izakura, Daisuke Katayama, Ryuichi Michida, Tetsushi Koide, Toru Tamaki, Yuki Kamigaichi, Hirosato Tamari, Yasutsugu Shimohara, Tomoyuki Nishimura, Katsuaki Inagaki, Hidenori Tanaka, Ken Yamashita, Kyoku Sumimoto, Shiro Oka, Shinji Tanaka
Journal of Gastroenterology and Hepatology. 2021;
[Pubmed]  [Google Scholar] [DOI]
35 Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Alessandro Repici, Marco Spadaccini, Giulio Antonelli, Loredana Correale, Roberta Maselli, Piera Alessia Galtieri, Gaia Pellegatta, Antonio Capogreco, Sebastian Manuel Milluzzo, Gianluca Lollo, Dhanai Di Paolo, Matteo Badalamenti, Elisa Ferrara, Alessandro Fugazza, Silvia Carrara, Andrea Anderloni, Emanuele Rondonotti, Arnaldo Amato, Andrea De Gottardi, Cristiano Spada, Franco Radaelli, Victor Savevski, Michael B Wallace, Prateek Sharma, Thomas Rösch, Cesare Hassan
Gut. 2021; : gutjnl-202
[Pubmed]  [Google Scholar] [DOI]
36 Artificial Intelligence in Endoscopy
Alexander Hann, Alexander Meining
Visceral Medicine. 2021; 37(6): 471
[Pubmed]  [Google Scholar] [DOI]
37 Artificial Intelligence-Aided Colonoscopy for Polyp Detection: A Systematic Review and Meta-Analysis of Randomized Clinical Trials
Yuanchuan Zhang, Xubing zhang, Qingbin Wu, Chaoyang Gu, Ziqiang Wang
Journal of Laparoendoscopic & Advanced Surgical Techniques. 2021; 31(10): 1143
[Pubmed]  [Google Scholar] [DOI]
38 A Polyp Worth Removing
William E. Karnes, David A. Johnson, Tyler M. Berzin, Seth A. Gross, John J. Vargo, Prateek Sharma, Robin Zachariah, Jason B. Samarasena, Joseph C. Anderson
Journal of Clinical Gastroenterology. 2021; Publish Ah
[Pubmed]  [Google Scholar] [DOI]
39 Artificial intelligence can increase the detection rate of colorectal polyps and adenomas: a systematic review and meta-analysis
Jianglei Li, Jiaxi Lu, Jin Yan, Yuyong Tan, Deliang Liu
European Journal of Gastroenterology & Hepatology. 2021; 33(8): 1041
[Pubmed]  [Google Scholar] [DOI]
40 Computer-aided detection of colorectal polyps using a newly generated deep convolutional neural network: from development to first clinical experience
Lukas Pfeifer, Clemens Neufert, Moritz Leppkes, Maximilian J. Waldner, Michael Häfner, Albert Beyer, Arthur Hoffman, Peter D. Siersema, Markus F. Neurath, Timo Rath
European Journal of Gastroenterology & Hepatology. 2021; 33(1S): e662
[Pubmed]  [Google Scholar] [DOI]
41 A Gratifying Step forward for the Application of Artificial Intelligence in the Field of Endoscopy: A Narrative Review
Yixin Xu, Yulin Tan, Yibo Wang, Jie Gao, Dapeng Wu, Xuezhong Xu
Surgical Laparoscopy, Endoscopy & Percutaneous Techniques. 2021; 31(2): 254
[Pubmed]  [Google Scholar] [DOI]
42 Artificial intelligence in endoscopy: Present and future perspectives
Kazuki Sumiyama, Toshiki Futakuchi, Shunsuke Kamba, Hiroaki Matsui, Naoto Tamai
Digestive Endoscopy. 2021; 33(2): 218
[Pubmed]  [Google Scholar] [DOI]
43 Current status and future perspective on artificial intelligence for lower endoscopy
Masashi Misawa, Shin-ei Kudo, Yuichi Mori, Yasuharu Maeda, Yushi Ogawa, Katsuro Ichimasa, Toyoki Kudo, Kunihiko Wakamura, Takemasa Hayashi, Hideyuki Miyachi, Toshiyuki Baba, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori
Digestive Endoscopy. 2021; 33(2): 273
[Pubmed]  [Google Scholar] [DOI]
44 Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis
Ishita Barua, Daniela Guerrero Vinsard, Henriette C. Jodal, Magnus Lřberg, Mette Kalager, Řyvind Holme, Masashi Misawa, Michael Bretthauer, Yuichi Mori
Endoscopy. 2021; 53(03): 277
[Pubmed]  [Google Scholar] [DOI]
45 Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method
Omer F. Ahmad, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, John T. Anderson, Jorge Bernal, Tyler M. Berzin, Raf Bisschops, Michael F. Byrne, Peng-Jen Chen, James E. East, Tom Eelbode, Daniel S. Elson, Suryakanth R. Gurudu, Aymeric Histace, William E. Karnes, Alessandro Repici, Rajvinder Singh, Pietro Valdastri, Michael B. Wallace, Pu Wang, Danail Stoyanov, Laurence B. Lovat
Endoscopy. 2021; 53(09): 893
[Pubmed]  [Google Scholar] [DOI]
46 Amalgamation of cloud-based colonoscopy videos with patient-level metadata to facilitate large-scale machine learning
Rajesh N. Keswani, Daniel Byrd, Florencia Garcia Vicente, J. Alex Heller, Matthew Klug, Nikhilesh R. Mazumder, Jordan Wood, Anthony D. Yang, Mozziyar Etemadi
Endoscopy International Open. 2021; 09(02): E233
[Pubmed]  [Google Scholar] [DOI]
47 Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis
Munish Ashat, Jagpal Singh Klair, Dhruv Singh, Arvind Rangarajan Murali, Rajesh Krishnamoorthi
Endoscopy International Open. 2021; 09(04): E513
[Pubmed]  [Google Scholar] [DOI]
48 Artificial intelligence for colonoscopy: the new Silk Road
Alessandro Repici, Cesare Hassan
Endoscopy. 2021; 53(03): 285
[Pubmed]  [Google Scholar] [DOI]
49 Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis
Cesare Hassan, Marco Spadaccini, Andrea Iannone, Roberta Maselli, Manol Jovani, Viveksandeep Thoguluva Chandrasekar, Giulio Antonelli, Honggang Yu, Miguel Areia, Mario Dinis-Ribeiro, Pradeep Bhandari, Prateek Sharma, Douglas K. Rex, Thomas Rösch, Michael Wallace, Alessandro Repici
Gastrointestinal Endoscopy. 2021; 93(1): 77
[Pubmed]  [Google Scholar] [DOI]
50 Artificial intelligence (computer-assisted detection) is the most recent novel approach to increase adenoma detection
Felix W. Leung, Yu-Hsi Hsieh
Gastrointestinal Endoscopy. 2021; 93(1): 86
[Pubmed]  [Google Scholar] [DOI]
51 Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)
Masashi Misawa, Shin-ei Kudo, Yuichi Mori, Kinichi Hotta, Kazuo Ohtsuka, Takahisa Matsuda, Shoichi Saito, Toyoki Kudo, Toshiyuki Baba, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori
Gastrointestinal Endoscopy. 2021; 93(4): 960
[Pubmed]  [Google Scholar] [DOI]
52 Impact of the clinical use of artificial intelligence–assisted neoplasia detection for colonoscopy: a large-scale prospective, propensity score–matched study (with video)
Misaki Ishiyama, Shin-ei Kudo, Masashi Misawa, Yuichi Mori, Yasuhara Maeda, Katsuro Ichimasa, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Hideyuki Miyachi, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori
Gastrointestinal Endoscopy. 2021;
[Pubmed]  [Google Scholar] [DOI]
53 Polyp detection and false-positive rates by computer-aided analysis of withdrawal-phase videos of colonoscopy of the right-sided colon segment in a randomized controlled trial comparing water exchange and air insufflation
Chia-Pei Tang, Tu-Liang Lin, Yu-Hsi Hsieh, Chen-Hung Hsieh, Chih-Wei Tseng, Felix W. Leung
Gastrointestinal Endoscopy. 2021;
[Pubmed]  [Google Scholar] [DOI]
54 Real-time polyp detection model using convolutional neural networks
Alba Nogueira-Rodríguez, Rubén Domínguez-Carbajales, Fernando Campos-Tato, Jesús Herrero, Manuel Puga, David Remedios, Laura Rivas, Eloy Sánchez, Águeda Iglesias, Joaquín Cubiella, Florentino Fdez-Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, Daniel Glez-Peńa
Neural Computing and Applications. 2021;
[Pubmed]  [Google Scholar] [DOI]
55 Künstliche Intelligenz in der Endoskopie – neue Wege zur Polypendetektion und Charakterisierung
H.- D. Allescher, M. Mangold, V. Weingart
Der Gastroenterologe. 2021; 16(1): 3
[Pubmed]  [Google Scholar] [DOI]
56 Impact of artificial intelligence on colorectal polyp detection
Giulio Antonelli, Matteo Badalamenti, Cesare Hassan, Alessandro Repici
Best Practice & Research Clinical Gastroenterology. 2021; 52-53: 101713
[Pubmed]  [Google Scholar] [DOI]
57 Striving for quality improvement: can artificial intelligence help?
P. Sinonquel, R. Bisschops
Best Practice & Research Clinical Gastroenterology. 2021; 52-53: 101722
[Pubmed]  [Google Scholar] [DOI]
58 Current status and limitations of artificial intelligence in colonoscopy
Alexander Hann, Joel Troya, Daniel Fitting
United European Gastroenterology Journal. 2021; 9(5): 527
[Pubmed]  [Google Scholar] [DOI]
59 Effect of artificial intelligence-aided colonoscopy for adenoma and polyp detection: a meta-analysis of randomized clinical trials
Ding Huang, Jingyi Shen, Jiaze Hong, Yi Zhang, Senjie Dai, Nannan Du, Mengting Zhang, Daxin Guo
International Journal of Colorectal Disease. 2021;
[Pubmed]  [Google Scholar] [DOI]
60 Real-time computer aided colonoscopy versus standard colonoscopy for improving adenoma detection rate: A meta-analysis of randomized-controlled trials
Babu P. Mohan, Antonio Facciorusso, Shahab R. Khan, Saurabh Chandan, Lena L. Kassab, Paraskevas Gkolfakis, Georgios Tziatzios, Konstantinos Triantafyllou, Douglas G. Adler
EClinicalMedicine. 2020; 29-30: 100622
[Pubmed]  [Google Scholar] [DOI]
61 The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis
Muhammad Aziz, Rawish Fatima, Charles Dong, Wade Lee-Smith, Ali Nawras
Journal of Gastroenterology and Hepatology. 2020; 35(10): 1676
[Pubmed]  [Google Scholar] [DOI]
62 Artificial intelligence in luminal endoscopy
Shraddha Gulati, Andrew Emmanuel, Mehul Patel, Sophie Williams, Amyn Haji, Bu’Hussain Hayee, Helmut Neumann
Therapeutic Advances in Gastrointestinal Endoscopy. 2020; 13: 2631774520
[Pubmed]  [Google Scholar] [DOI]
63 Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects
Ke-Wei Wang, Ming Dong
World Journal of Gastroenterology. 2020; 26(34): 5090
[Pubmed]  [Google Scholar] [DOI]
64 Artificial intelligence technologies for the detection of colorectal lesions: The future is now
Simona Attardo, Viveksandeep Thoguluva Chandrasekar, Marco Spadaccini, Roberta Maselli, Harsh K Patel, Madhav Desai, Antonio Capogreco, Matteo Badalamenti, Piera Alessia Galtieri, Gaia Pellegatta, Alessandro Fugazza, Silvia Carrara, Andrea Anderloni, Pietro Occhipinti, Cesare Hassan, Prateek Sharma, Alessandro Repici
World Journal of Gastroenterology. 2020; 26(37): 5606
[Pubmed]  [Google Scholar] [DOI]
65 Use of artificial intelligence in improving adenoma detection rate during colonoscopy: Might both endoscopists and pathologists be further helped
Emanuele Sinagra, Matteo Badalamenti, Marcello Maida, Marco Spadaccini, Roberta Maselli, Francesca Rossi, Giuseppe Conoscenti, Dario Raimondo, Socrate Pallio, Alessandro Repici, Andrea Anderloni
World Journal of Gastroenterology. 2020; 26(39): 5911
[Pubmed]  [Google Scholar] [DOI]
66 Artificial intelligence-aided colonoscopy: Recent developments and future perspectives
Giulio Antonelli, Paraskevas Gkolfakis, Georgios Tziatzios, Ioannis S Papanikolaou, Konstantinos Triantafyllou, Cesare Hassan
World Journal of Gastroenterology. 2020; 26(47): 7436
[Pubmed]  [Google Scholar] [DOI]

 

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