{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T16:37:05Z","timestamp":1792773425285,"version":"4.5.0"},"reference-count":32,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","radiographyonline.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Radiography"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.radi.2026.103549","type":"journal-article","created":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T03:43:05Z","timestamp":1787802185000},"page":"103549","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Perceptions of Greek radiographers and radiologists on the impact of artificial intelligence in medical imaging: A cross-sectional study"],"prefix":"10.1016","volume":"32","author":[{"given":"D.","family":"Katartzi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1251-7202","authenticated-orcid":false,"given":"K.","family":"Konstantinidis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I.","family":"Apostolakis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.","family":"Mourtou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9967-5152","authenticated-orcid":false,"given":"P.","family":"Sarafis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.radi.2026.103549_bib1","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2024.111581","article-title":"AI-based automated evaluation of image quality and protocol tailoring in patients undergoing MRI for suspected prostate cancer","volume":"177","author":"Kluckert","year":"2024","journal-title":"Eur J Radiol"},{"issue":"4","key":"10.1016\/j.radi.2026.103549_bib2","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1007\/s00330-024-11056-0","article-title":"Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences","volume":"35","author":"Afat","year":"2025","journal-title":"Eur Radiol"},{"issue":"4","key":"10.1016\/j.radi.2026.103549_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.radi.2025.102968","article-title":"Potential of artificial intelligence for radiation dose reduction in computed tomography - a scoping review","volume":"31","author":"Bani-Ahmad","year":"2025","journal-title":"Radiography"},{"issue":"4","key":"10.1016\/j.radi.2026.103549_bib4","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1016\/j.radi.2024.05.002","article-title":"Impact of intelligent virtual and AI-based automated collimation functionalities on the efficiency of radiographic acquisitions","volume":"30","author":"Rasche","year":"2024","journal-title":"Radiography"},{"issue":"2","key":"10.1016\/j.radi.2026.103549_bib5","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1097\/RLI.0000000000001028","article-title":"AI as a new frontier in contrast media research: bridging the gap between contrast media reduction, the contrast-free question and new application discoveries","volume":"59","author":"Haubold","year":"2024","journal-title":"Investig Radiol"},{"key":"10.1016\/j.radi.2026.103549_bib6","article-title":"AI in diagnostic imaging: revolutionising accuracy and efficiency","volume":"5","author":"Khalifa","year":"2024","journal-title":"Comput Method Progr Biomed Update"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib7","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1186\/s13244-025-01918-6","article-title":"R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers' roles","volume":"16","author":"Stogiannos","year":"2025","journal-title":"Insights Imaging"},{"issue":"9","key":"10.1016\/j.radi.2026.103549_bib8","doi-asserted-by":"crossref","first-page":"7058","DOI":"10.1007\/s00330-021-07781-5","article-title":"An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude","volume":"31","author":"Huisman","year":"2021","journal-title":"Eur Radiol"},{"issue":"17","key":"10.1016\/j.radi.2026.103549_bib9","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics13172760","article-title":"Redefining radiology: a review of artificial intelligence integration in medical imaging","volume":"13","author":"Najjar","year":"2023","journal-title":"Diagnostics"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib10","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1186\/s13244-021-01028-z","article-title":"Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives","volume":"12","author":"Antwi","year":"2021","journal-title":"Insights Imaging"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib11","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1186\/s13244-022-01319-z","article-title":"Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia","volume":"13","author":"Aldhafeeri","year":"2022","journal-title":"Insights Imaging"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib12","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.acra.2020.09.014","article-title":"Assessment of the willingness of radiologists and radiographers to accept the integration of artificial intelligence into radiology practice","volume":"29","author":"Abuzaid","year":"2022","journal-title":"Acad Radiol"},{"key":"10.1016\/j.radi.2026.103549_bib13","article-title":"How to choose a sampling technique and determine sample size for research: a simplified guide for researchers","volume":"12","author":"Ahmed","year":"2024","journal-title":"Oral Oncol Rep"},{"issue":"3","key":"10.1016\/j.radi.2026.103549_bib14","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1002\/jmrs.460","article-title":"Radiographers' perspectives on the emerging integration of artificial intelligence into diagnostic imaging: the Ghana study","volume":"68","author":"Botwe","year":"2021","journal-title":"J Med Radiat Sci"},{"issue":"6","key":"10.1016\/j.radi.2026.103549_bib15","first-page":"744","article-title":"Using the appropriate questionnaire in epidemiological studies","volume":"29","author":"Galanis","year":"2012","journal-title":"Arch Hellenic Med"},{"issue":"2","key":"10.1016\/j.radi.2026.103549_bib16","doi-asserted-by":"crossref","first-page":"144","DOI":"10.4097\/kjae.2017.70.2.144","article-title":"Central limit theorem: the cornerstone of modern statistics","volume":"70","author":"Kwak","year":"2017","journal-title":"Korean J Anesthesiol"},{"issue":"6","key":"10.1016\/j.radi.2026.103549_bib17","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.diii.2019.03.015","article-title":"Impact of the rise of artificial intelligence in radiology: what do radiologists think?","volume":"100","author":"Waymel","year":"2019","journal-title":"Diagn Interventional Imaging"},{"issue":"4","key":"10.1016\/j.radi.2026.103549_bib18","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1016\/j.radi.2024.04.020","article-title":"A Nordic survey on artificial intelligence in the radiography profession \u2013 is the profession ready for a culture change?","volume":"30","author":"Pedersen","year":"2024","journal-title":"Radiography"},{"issue":"2","key":"10.1016\/j.radi.2026.103549_bib19","article-title":"Knowledge, attitudes and practices towards artificial intelligence (AI) among radiologists in Saudi Arabia","volume":"16","author":"Alghamdi","year":"2023","journal-title":"J Radiat Res Appl Sci"},{"key":"10.1016\/j.radi.2026.103549_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2024.111590","article-title":"Radiologists' perceptions on AI integration: an in-depth survey study","volume":"177","author":"C\u00e8","year":"2024","journal-title":"Eur J Radiol"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib21","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1186\/s13244-024-01801-w","article-title":"Impact of AI on radiology: a EuroAIM\/EuSoMII 2024 survey among members of the European Society of Radiology","volume":"15","author":"Zanardo","year":"2024","journal-title":"Insights Imaging"},{"issue":"191","key":"10.1016\/j.radi.2026.103549_bib22","doi-asserted-by":"crossref","first-page":"4","DOI":"10.54042\/hr2828hhsma","article-title":"Digital transformation in healthcare. Challenges and prospects","volume":"35","author":"Apostolakis","year":"2024","journal-title":"Healthc Rev"},{"issue":"Suppl 2","key":"10.1016\/j.radi.2026.103549_bib23","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.radi.2024.10.010","article-title":"Radiographer Education and Learning in Artificial Intelligence (REAL-AI): a survey of radiographers, radiologists, and students' knowledge of and attitude to education on AI","volume":"30","author":"Doherty","year":"2024","journal-title":"Radiography"},{"key":"10.1016\/j.radi.2026.103549_bib24","series-title":"The proceedings of the 16th international conference on informatics in education, Greece: greek computer Society","first-page":"116","article-title":"Bridging the gap: introducing artificial intelligence in radiography education","author":"Konstantinidis","year":"2024"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib25","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1186\/s13244-025-01905-x","article-title":"Guiding AI in radiology: ESR\u2019s recommendations for effective implementation of the European AI Act","volume":"16","author":"Kotter","year":"2025","journal-title":"Insights Imaging"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib26","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1186\/s12909-025-08392-0","article-title":"Evaluation of health professionals' perceptions on the use of artificial intelligence in radiology: a questionnaire-based study","volume":"26","author":"G\u00f6de","year":"2025","journal-title":"BMC Med Educ"},{"issue":"4","key":"10.1016\/j.radi.2026.103549_bib27","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.diii.2025.12.002","article-title":"Understanding the challenges to implementing AI solutions in radiology departments and how to overcome them: a comprehensive review endorsed by the French College of Radiologists (CERF) and the French Society of Radiology (SFR)","volume":"107","author":"Cromb\u00e9","year":"2026","journal-title":"Diagn Interventional Imaging"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib28","article-title":"A survey on the knowledge, aspects and attitude of radiologists and radiology residents in Greece and Cyprus about the use of Artificial Intelligence in Radiology","volume":"4","author":"Letsiou","year":"2024","journal-title":"Int Conf Busi Econ - Hellenic Open Univ"},{"issue":"1","key":"10.1016\/j.radi.2026.103549_bib29","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1093\/jamia\/ocad191","article-title":"Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study","volume":"31","author":"Fari\u010d","year":"2024","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.radi.2026.103549_bib30","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2024.111590","article-title":"Radiologists' perceptions on AI integration: an in-depth survey study","volume":"177","author":"C\u00e8","year":"2024","journal-title":"Eur J Radiol"},{"issue":"4","key":"10.1016\/j.radi.2026.103549_bib31","article-title":"Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers","volume":"55","author":"Champendal","year":"2024","journal-title":"J Med Imag Radiat Sci"},{"issue":"11","key":"10.1016\/j.radi.2026.103549_bib32","doi-asserted-by":"crossref","DOI":"10.3390\/app16115337","article-title":"Artificial intelligence in Radiology\u2014Insights from a sample of Italian radiographers' perspectives","volume":"16","author":"Giusti","year":"2026","journal-title":"Appl Sci"}],"container-title":["Radiography"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1078817426002257?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1078817426002257?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T15:07:11Z","timestamp":1792768031000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1078817426002257"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":32,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S1078817426002257"],"URL":"https:\/\/doi.org\/10.1016\/j.radi.2026.103549","relation":{},"ISSN":["1078-8174"],"issn-type":[{"value":"1078-8174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Perceptions of Greek radiographers and radiologists on the impact of artificial intelligence in medical imaging: A cross-sectional study","name":"articletitle","label":"Article Title"},{"value":"Radiography","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.radi.2026.103549","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The College of Radiographers. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"103549"}}