{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T10:52:46Z","timestamp":1791975166645,"version":"4.4.0"},"reference-count":49,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Medical Radiation Sci"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>The evolving role of radiographers in Preliminary Clinical Evaluation (PCE), alongside the integration of artificial intelligence (AI) into radiography workflows, is reshaping professional boundaries and enhancing patient care. However, this introduces ethical challenges that may impact PCE performance. This study explored the perspectives of cross\u2010sectional imaging radiographers on the ethical dimensions of PCE and the potential impact of AI on the future practice of PCE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>A descriptive qualitative inquiry employing semi\u2010structured interviews was conducted. A Purposive sampling method was used to recruit twelve cross\u2010sectional imaging radiographers in a postgraduate medical imaging course at a UK university. Data were analysed using inductive reflexive thematic analysis with NVivo (v.20.0).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Participants' clinical experience ranged (2 to 8\u2009years), with 50% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20096) employed in public hospitals and the rest in private or mixed settings. Half (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20096) had expertise in both CT\/MRI and the rest in CT only. Notably, 42% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20095) practised in multiple countries. Two main themes were developed: (1) Ethical considerations of PCE with subthemes surrounding privacy and confidentiality, communication boundaries, and legal compliance. (2) Prospects of human\u2010centred PCE in the era of AI, with subthemes including augmentation and support, workflow efficiency, PCE validation and quality assurance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Participants shared relevant ethical principles underpinning PCE practice and are cautiously optimistic about the potential impact of AI on PCE. Incorporation of PCE\u2010specific ethics into radiography education and practice is necessary to ensure consistency, accountability and safety. Cautious integration of AI into radiography practice workflows is recommended to avoid professional deskilling and to preserve expertise.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jmrs.70132","type":"journal-article","created":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T10:28:19Z","timestamp":1791973699000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Preliminary Clinical Evaluation in Cross\u2010Sectional Imaging: A Qualitative Inquiry Into the Ethical Considerations in the Era of Artificial Intelligence"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0107-9212","authenticated-orcid":false,"given":"Messiah N. K.","family":"Anudjo","sequence":"first","affiliation":[{"name":"Institute of Medical Imaging &amp; Visualisation, School for Allied Health and Exercise Science, Faculty of Health, Environment and Medical Sciences Bournemouth University  Bournemouth UK"},{"name":"Department of Medical Technologies, School of Allied Health Professions and Pharmacy, Faculty of Medicine and Health Sciences Keele University  Staffordshire UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3209-1560","authenticated-orcid":false,"given":"Sharon","family":"Docherty","sequence":"additional","affiliation":[{"name":"Faculty of Health, Environment and Medical Sciences Bournemouth University  Bournemouth UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2423-6897","authenticated-orcid":false,"given":"Theophilus N.","family":"Akudjedu","sequence":"additional","affiliation":[{"name":"Institute of Medical Imaging &amp; Visualisation, School for Allied Health and Exercise Science, Faculty of Health, Environment and Medical Sciences Bournemouth University  Bournemouth UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,14]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmir.2024.101815"},{"key":"e_1_2_14_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2007.09.001"},{"key":"e_1_2_14_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmrs.356"},{"key":"e_1_2_14_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2025.103209"},{"key":"e_1_2_14_6_1","volume-title":"The diagnostic radiology life cycle guidance","author":"Royal College of Radiologists","year":"2025"},{"key":"e_1_2_14_7_1","volume-title":"The future of clinical radiology: A vision for 2025","author":"Royal College of Radiologists","year":"2025"},{"key":"e_1_2_14_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/0142159X.2018.1484897"},{"key":"e_1_2_14_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2021.08.003"},{"key":"e_1_2_14_10_1","volume-title":"Radiographer Preliminary Clinical Evaluation","author":"Society and College of Radiographers","year":"2024"},{"key":"e_1_2_14_11_1","volume-title":"Preliminary clinical evaluation and clinical reporting by radiographers: policy and practice guidance [Internet]","author":"Society and College of Radiographers","year":"2013"},{"key":"e_1_2_14_12_1","volume-title":"The Standards of Proficiency for Radiographers","author":"Health and Care Professions Council","year":"2023"},{"key":"e_1_2_14_13_1","volume-title":"Professional Capabilities for Medical Radiation Practice","author":"Medical Radiation Practice Board of Australia","year":"2019"},{"key":"e_1_2_14_14_1","volume-title":"Role Development \u2013 Towards 2000: A Survey of Role Developments in Radiography","author":"Paterson A.","year":"1995"},{"key":"e_1_2_14_15_1","volume-title":"Scope of radiographic practice survey 2012","author":"The Society and College of Radiographers","year":"2012"},{"key":"e_1_2_14_16_1","volume-title":"Learning from Emergency Medicine compensation claims","author":"NHS Resolution","year":"2022"},{"key":"e_1_2_14_17_1","volume-title":"Clinical negligence claims in Emergency Departments in England: Missed fractures","author":"NHS Resolution","year":"2022"},{"key":"e_1_2_14_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmrs.722"},{"key":"e_1_2_14_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2022.11.014"},{"key":"e_1_2_14_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.2051\u20103909.2006.tb00056.x"},{"key":"e_1_2_14_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2024.08.008"},{"key":"e_1_2_14_22_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12910\u2010017\u20100168\u2010y"},{"key":"e_1_2_14_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2005.11.001"},{"key":"e_1_2_14_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmrs.354"},{"key":"e_1_2_14_25_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13244\u2010025\u201001918\u20106"},{"key":"e_1_2_14_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmir.2022.11.016"},{"key":"e_1_2_14_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2021.07.021"},{"key":"e_1_2_14_28_1","first-page":"205","article-title":"Artificial Intelligence in Radiology: Current Applications and Future Technologies","volume":"21","author":"Makary M. 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