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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study
Miguel Areia, Yuichi Mori, Loredana Correale, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 6, pp. e436-e444
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 42
Benefits, burden, and harms of computer aided polyp detection with artificial intelligence in colorectal cancer screening: microsimulation modelling study
Natalie Halvorsen, Cesare Hassan, Loredana Correale, et al.
BMJ Medicine (2025) Vol. 4, Iss. 1, pp. e001446-e001446
Open Access | Times Cited: 2
Artificial intelligence and automation in endoscopy and surgery
François Chadebecq, Laurence Lovat, Danail Stoyanov
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 20, Iss. 3, pp. 171-182
Open Access | Times Cited: 60
Equity within AI systems: What can health leaders expect?
Emma Gurevich, Basheer El Hassan, Christo El Morr
Healthcare Management Forum (2022) Vol. 36, Iss. 2, pp. 119-124
Open Access | Times Cited: 52
Performance and attitudes toward real-time computer-aided polyp detection during colonoscopy in a large tertiary referral center in the United States
Fredy Nehme, Emmanuel Coronel, Denise A. Barringer, et al.
Gastrointestinal Endoscopy (2023) Vol. 98, Iss. 1, pp. 100-109.e6
Closed Access | Times Cited: 36
Artificial intelligence and inflammatory bowel disease: Where are we going?
Leonardo Da Rio, Marco Spadaccini, Tommaso Lorenzo Parigi, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 3, pp. 508-520
Open Access | Times Cited: 34
Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care
Smit Patel, Jennifer C. Goldsack, Grace Cordovano, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43404-e43404
Open Access | Times Cited: 31
Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement
Yuichi Mori, James E. East, Cesare Hassan, et al.
Digestive Endoscopy (2023) Vol. 35, Iss. 4, pp. 422-429
Open Access | Times Cited: 30
Application of machine learning and artificial intelligence in the diagnosis and classification of polycystic ovarian syndrome: a systematic review
Francisco J. Barrera, Ethan Brown, Amanda Rojo, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 25
Artificial intelligence in intestinal polyp and colorectal cancer prediction
Anju Sharma, Rajnish Kumar, Garima Yadav, et al.
Cancer Letters (2023) Vol. 565, pp. 216238-216238
Closed Access | Times Cited: 22
Lack of Effectiveness of Computer Aided Detection for Colorectal Neoplasia: A Systematic Review and Meta-Analysis of Nonrandomized Studies
Harsh K. Patel, Yuichi Mori, Cesare Hassan, et al.
Clinical Gastroenterology and Hepatology (2023) Vol. 22, Iss. 5, pp. 971-980.e15
Closed Access | Times Cited: 21
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case
Yueye Wang, Chi Liu, Wenyi Hu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 12
A computer-aided polyp detection system in screening and surveillance colonoscopy: an international, multicentre, randomised, tandem trial
M. Maas, Helmut Neumann, Haim Shirin, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 3, pp. e157-e165
Open Access | Times Cited: 12
Genetic Basis of Breast and Ovarian Cancer: Approaches and Lessons Learnt from Three Decades of Inherited Predisposition Testing
Valeria Barili, Enrico Ambrosini, Beatrice Bortesi, et al.
Genes (2024) Vol. 15, Iss. 2, pp. 219-219
Open Access | Times Cited: 10
Colorectal cancer screening: A review of current knowledge and progress in research
S. Ramos Lopes, Claudio Martins, Inês Costa Santos, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 4, pp. 1119-1133
Open Access | Times Cited: 8
Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial
Madhav Desai, Karlee Ausk, Donald Brannan, et al.
The American Journal of Gastroenterology (2024) Vol. 119, Iss. 7, pp. 1383-1391
Closed Access | Times Cited: 7
Impact of Artificial Intelligence on Colonoscopy Surveillance After Polyp Removal: A Pooled Analysis of Randomized Trials
Yuichi Mori, Pu Wang, Magnus Løberg, et al.
Clinical Gastroenterology and Hepatology (2022) Vol. 21, Iss. 4, pp. 949-959.e2
Open Access | Times Cited: 32
The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization
Edward J. Young, Louisa Edwards, Rajvinder Singh
Cancers (2023) Vol. 15, Iss. 21, pp. 5126-5126
Open Access | Times Cited: 21
Combination of Mucosa-Exposure Device and Computer-Aided Detection for Adenoma Detection During Colonoscopy: A Randomized Trial
Marco Spadaccini, Cesare Hassan, Emanuele Rondonotti, et al.
Gastroenterology (2023) Vol. 165, Iss. 1, pp. 244-251.e3
Open Access | Times Cited: 20
Effectiveness of artificial intelligence-assisted colonoscopy in early diagnosis of colorectal cancer: a systematic review
Aashna Mehta, Harendra Kumar, Katia Yazji, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 4, pp. 946-952
Open Access | Times Cited: 19
Development of an artificial intelligence tool for detecting colorectal lesions in inflammatory bowel disease
Daniela Guerrero Vinsard, Jeffrey Fetzer, Upasana Agrawal, et al.
iGIE (2023) Vol. 2, Iss. 2, pp. 91-101.e6
Open Access | Times Cited: 18
Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?
Antonio Z. Gimeno‐García, Anjara Hernández-Pérez, David Nicolás–Pérez, et al.
Cancers (2023) Vol. 15, Iss. 8, pp. 2193-2193
Open Access | Times Cited: 17
Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer Screening
Alan Barkun, Daniel von Renteln, Hamid Sadri
Journal of the Canadian Association of Gastroenterology (2023) Vol. 6, Iss. 3, pp. 97-105
Open Access | Times Cited: 17
Current and future implications of artificial intelligence in colonoscopy
Giulio Antonelli
Annals of Gastroenterology (2023)
Open Access | Times Cited: 16
ChatGPT4 Outperforms Endoscopists for Determination of Postcolonoscopy Rescreening and Surveillance Recommendations
Patrick Chang, Maziar M. Amini, Rio O. Davis, et al.
Clinical Gastroenterology and Hepatology (2024) Vol. 22, Iss. 9, pp. 1917-1925.e17
Closed Access | Times Cited: 6
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