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Cited by in CrossRef
For: Viscaino M, Torres Bustos J, Muñoz P, Auat Cheein C, Cheein FA. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World J Gastroenterol 2021; 27(38): 6399-6414 [PMID: PMC8517786 DOI: 10.3748/wjg.v27.i38.6399]
URL: https://www.wjgnet.com/1948-5190/full/v27/i38/6399.htm
Number Citing Articles
1
Chen-Ming Hsu, Chien-Chang Hsu, Zhe-Ming Hsu, Tsung-Hsing Chen, Tony Kuo. Intraprocedure Artificial Intelligence Alert System for Colonoscopy ExaminationSensors 2023; 23(3): 1211 doi: 10.3390/s23031211
2
Siddhartha Kapuria, Tarunraj G. Mohanraj, Nethra Venkatayogi, Ozdemir Can Kara, Yuki Hirata, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi. Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks2023 International Symposium on Medical Robotics (ISMR) 2023; : 1 doi: 10.1109/ISMR57123.2023.10130197
3
Mojgan Forootan, Mohsen Rajabnia, Ahmad R. Mafi, Hamed Azhdari Tehrani, Erfan Ghadirzadeh, Mahziar Setayeshfar, Zahra Ghaffari, Mohammad Tashakoripour, Mohammad Reza Zali, Hamidreza Bolhasani. ERCPMP: an endoscopic image and video dataset for colorectal polyps morphology and pathologyBMC Research Notes 2024; 17(1) doi: 10.1186/s13104-024-07062-6
4
Pankaj Kumar Tripathi, Chakresh Kumar Jain. Advancements in Bio-Medical Image Processing and Authentication in TelemedicineAdvances in Medical Technologies and Clinical Practice 2023; : 54 doi: 10.4018/978-1-6684-6957-6.ch004
5
Luqing Zhao, Nan Wang, Xihan Zhu, Zhenyu Wu, Aihua Shen, Lihong Zhang, Ruixin Wang, Dianpeng Wang, Shengsheng Zhang. Establishment and validation of an artificial intelligence-based model for real-time detection and classification of colorectal adenomaScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-61342-6
6
Alba Nogueira-Rodríguez, Miguel Reboiro-Jato, Daniel Glez-Peña, Hugo López-Fernández. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image DatasetsDiagnostics 2022; 12(4): 898 doi: 10.3390/diagnostics12040898
7
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel ProspectFrontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
8
Serlie Hartoonian, Matine Hosseini, Iman Yousefi, Mina Mahdian, Mitra Ghazizadeh Ahsaie. Applications of artificial intelligence in dentomaxillofacial imaging: a systematic reviewOral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2024; 138(5): 641 doi: 10.1016/j.oooo.2023.12.790
9
Gaurav Singh, Anushka Kamalja, Rohit Patil, Ashutosh Karwa, Akansha Tripathi, Pallavi Chavan. A comprehensive assessment of artificial intelligence applications for cancer diagnosisArtificial Intelligence Review 2024; 57(7) doi: 10.1007/s10462-024-10783-6
10
Sayan Saha, Shreya Ghosh, Suman Ghosh, Sumit Nandi, Aditi Nayak. Unraveling the complexities of colorectal cancer and its promising therapies – An updated reviewInternational Immunopharmacology 2024; 143: 113325 doi: 10.1016/j.intimp.2024.113325
11
Marianna-Foteini Dafni, Mohamed Shih, Agnes Zanotto Manoel, Mohamed Yousif Elamin Yousif, Stavroula Spathi, Chorya Harshal, Gaurang Bhatt, Swarali Yatin Chodnekar, Nicholas Stam Chune, Warda Rasool, Tungki Pratama Umar, Dimitrios C. Moustakas, Robert Achkar, Harendra Kumar, Suhaila Naz, Luis M. Acuña-Chavez, Konstantinos Evgenikos, Shaina Gulraiz, Eslam Salih Musa Ali, Amna Elaagib, Innocent H. Peter Uggh. Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and interventionCancer Causes & Control 2024;  doi: 10.1007/s10552-024-01942-9
12
Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández. Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp DetectionDiagnostics 2023; 13(5): 966 doi: 10.3390/diagnostics13050966
13
Siddhartha Kapuria, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi, Shandong Wu, Hiroyuki Yoshida. Enhancing colorectal cancer diagnosis through generative models and vision-based tactile sensing: a Sim2Real studyMedical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications 2024; : 23 doi: 10.1117/12.3006550
14
Yangyang Wang, Shihui Zhao, Songtao Du, Tianyi Xia, Liqiang Song, Mingyu Xia, Bomiao Zhang. Identification of PANoptosis associated lncRNAs associated with clinical prognosis and immune infiltration microenvironment in colon adenocarcinomaDiscover Oncology 2025; 16(1) doi: 10.1007/s12672-025-01838-3
15
Erica Quagliarini, Luca Digiacomo, Damiano Caputo, Alessandro Coppola, Heinz Amenitsch, Giulio Caracciolo, Daniela Pozzi. Magnetic Levitation of Personalized Nanoparticle–Protein Corona as an Effective Tool for Cancer DetectionNanomaterials 2022; 12(9): 1397 doi: 10.3390/nano12091397
16
Hongfei Yao, Peng Liu, Linli Yao, Xiao Li. Establishment of disulfidptosis-related LncRNA signature as biomarkers in colon adenocarcinomaCancer Cell International 2024; 24(1) doi: 10.1186/s12935-024-03374-6
17
Arcangelo Picciariello, Agnese Dezi, Leonardo Vincenti, Marcello Giuseppe Spampinato, Wenzhe Zang, Pamela Riahi, Jared Scott, Ruchi Sharma, Xudong Fan, Donato F. Altomare. Colorectal Cancer Diagnosis through Breath Test Using a Portable Breath Analyzer—Preliminary DataSensors 2024; 24(7): 2343 doi: 10.3390/s24072343
18
Adriel Abraham, Rejath Jose, Jawad Ahmad, Jai Joshi, Thomas Jacob, Aziz-ur-rahman Khalid, Hassam Ali, Pratik Patel, Jaspreet Singh, Milan Toma. Comparative Analysis of Machine Learning Models for Image Detection of Colonic Polyps vs. Resected PolypsJournal of Imaging 2023; 9(10): 215 doi: 10.3390/jimaging9100215
19
Nethra Venkatayogi, Qin Hu, Ozdemir Can Kara, Tarunraj G. Mohanraj, S. Farokh Atashzar, Farshid Alambeigi. On the Potentials of Surface Tactile Imaging and Dilated Residual Networks for Early Detection of Colorectal Cancer Polyps2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023; : 4655 doi: 10.1109/IROS55552.2023.10342161
20
Yangzi Ren, Shangwen He, Siyang Feng, Wei Yang. A Prognostic Model for Colon Adenocarcinoma Patients Based on Ten Amino Acid Metabolism Related GenesFrontiers in Public Health 2022; 10 doi: 10.3389/fpubh.2022.916364
21
Chahat Suri, Babita Pande, Tarun Sahu, Lakkakula Suhasini Sahithi, Henu Kumar Verma. Revolutionizing Gastrointestinal Disorder Management: Cutting-Edge Advances and Future ProspectsJournal of Clinical Medicine 2024; 13(13): 3977 doi: 10.3390/jcm13133977
22
Jiaming Zhang, Jiayi Fang, Yanneng Xu, Guangyan Si. How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future PerspectivesDiagnostics 2024; 14(13): 1393 doi: 10.3390/diagnostics14131393
23
Aashna Mehta, Wireko Andrew Awuah, Sucharu Asri, Muhammad Jawad Zahid, Jyi Cheng Ng, Heli Patel, Helen Huang, Katherine Candelario, Ayush Anand, Toufik-Abdul Rahman, Vladyslav Sikora, Arda Isik. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure HealthcareAdvances in Computing Communications and Informatics 2024; 7: 111 doi: 10.2174/9789815165432124070008
24
Jothiraj Selvaraj, A. K. Jayanthy. Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy imagesInternational Journal of Imaging Systems and Technology 2024; 34(2) doi: 10.1002/ima.23034
25
Nethra Venkatayogi, Ozdemir Can Kara, Jeff Bonyun, Naruhiko Ikoma, Farshid Alambeigi. Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing2022 IEEE Sensors 2022; : 1 doi: 10.1109/SENSORS52175.2022.9967308
26
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
27
André Cerqueira Castro, Lucas Lima Neves, Heitor Sardinha Gonçalves Paiva, Ricardo Augusto Pereira Franco. Metodologia de Geração de Dados aplicada à Geração de Imagens de Exames de ColonoscopiaAnais da XII Escola Regional de Informática de Goiás (ERI-GO 2024) 2024; : 109 doi: 10.5753/erigo.2024.4797