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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:

Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey
Francesca Coppola, Lorenzo Faggioni, Daniele Regge, et al.
La radiologia medica (2020) Vol. 126, Iss. 1, pp. 63-71
Closed Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2271-2311
Open Access | Times Cited: 176
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude
Merel Huisman, Erik Ranschaert, William Parker, et al.
European Radiology (2021) Vol. 31, Iss. 9, pp. 7058-7066
Open Access | Times Cited: 160
Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey
Mingyang Chen, Bo Zhang, Ziting Cai, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 115
Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia
Wajid Syed, Mahmood Basil A. Al-Rawi
Medicina (2023) Vol. 59, Iss. 5, pp. 828-828
Open Access | Times Cited: 61
Exploring stakeholder attitudes towards AI in clinical practice
Ian Scott, Stacy M. Carter, Enrico Coiera
BMJ Health & Care Informatics (2021) Vol. 28, Iss. 1, pp. e100450-e100450
Open Access | Times Cited: 104
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence
Andreia Martinho, Maarten Kroesen, Caspar Chorus
Artificial Intelligence in Medicine (2021) Vol. 121, pp. 102190-102190
Open Access | Times Cited: 82
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging
Francesca Coppola, Lorenzo Faggioni, Michela Gabelloni, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 77
A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers
Simone Vicini, Chandra Bortolotto, Marco Rengo, et al.
La radiologia medica (2022) Vol. 127, Iss. 8, pp. 819-836
Closed Access | Times Cited: 67
Radiomics in medical imaging: pitfalls and challenges in clinical management
Roberta Fusco, Vincenza Granata, Giulia Grazzini, et al.
Japanese Journal of Radiology (2022) Vol. 40, Iss. 9, pp. 919-929
Closed Access | Times Cited: 59
Current challenges of implementing artificial intelligence in medical imaging
Shier Nee Saw, Kwan Hoong Ng
Physica Medica (2022) Vol. 100, pp. 12-17
Open Access | Times Cited: 59
Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection
Alessandro Allegra, Alessandro Tonacci, Raffaele Sciaccotta, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 606-606
Open Access | Times Cited: 51
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): a radiomic model to predict tumor grade
Giuditta Chiti, Giulia Grazzini, Federica Flammia, et al.
La radiologia medica (2022) Vol. 127, Iss. 9, pp. 928-938
Closed Access | Times Cited: 44
Radiographers’ knowledge, attitudes and expectations of artificial intelligence in medical imaging
Sinead Coakley, Rena Young, Niamh Moore, et al.
Radiography (2022) Vol. 28, Iss. 4, pp. 943-948
Open Access | Times Cited: 41
Artificial Intelligence in Emergency Radiology: Where Are We Going?
Michaela Cellina, Maurizio Cè, Giovanni Irmici, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3223-3223
Open Access | Times Cited: 40
Systematic Review of Radiologist and Medical Student Attitudes on the Role and Impact of AI in Radiology
Samantha M. Santomartino, Paul H. Yi
Academic Radiology (2022) Vol. 29, Iss. 11, pp. 1748-1756
Closed Access | Times Cited: 39
Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Vinh Vo, Gang Chen, Yves Saint James Aquino, et al.
Social Science & Medicine (2023) Vol. 338, pp. 116357-116357
Open Access | Times Cited: 39
Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
David Hua, Neysa Petrina, Noel Young, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102698-102698
Open Access | Times Cited: 33
Physicians’ attitudes and knowledge toward artificial intelligence in medicine: Benefits and drawbacks
Mohammed Khalid Al-Medfa, Ahmed Al-Ansari, Abdullah Hassan Darwish, et al.
Heliyon (2023) Vol. 9, Iss. 4, pp. e14744-e14744
Open Access | Times Cited: 30
Artificial intelligence in medicine: A comprehensive survey of medical doctor’s perspectives in Portugal
Ana Rita Pedro, Michelle B. Dias, Liliana Laranjo, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0290613-e0290613
Open Access | Times Cited: 28
Trust and stakeholder perspectives on the implementation of AI tools in clinical radiology
Magnus Bergquist, Bertil Rolandsson, Emilia Gryska, et al.
European Radiology (2023) Vol. 34, Iss. 1, pp. 338-347
Open Access | Times Cited: 25
Artificial Intelligence/Machine Learning Education in Radiology: Multi-institutional Survey of Radiology Residents in the United States
Ninad Salastekar, Charles M. Maxfield, Tarek N. Hanna, et al.
Academic Radiology (2023) Vol. 30, Iss. 7, pp. 1481-1487
Closed Access | Times Cited: 23
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 11
Radiologists’ perceptions on AI integration: An in-depth survey study
Maurizio Cè, Simona Ibba, Michaela Cellina, et al.
European Journal of Radiology (2024) Vol. 177, pp. 111590-111590
Closed Access | Times Cited: 9
Clinicians’ perspectives on the use of artificial intelligence to triage MRI brain scans
Munaib Din, Karan Daga, Jihad Saoud, et al.
European Journal of Radiology (2025) Vol. 183, pp. 111921-111921
Open Access | Times Cited: 1
Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals
Ayanda I. Nciki, Linda Tebogo Hlabangana
South African Journal of Radiology (2025) Vol. 29, Iss. 1
Open Access | Times Cited: 1
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