{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:56:03Z","timestamp":1791294963090,"version":"4.1.0"},"reference-count":10,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:00:00Z","timestamp":1791244800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:00:00Z","timestamp":1791244800000},"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 Med Imag Rad Onc"],"abstract":"ABSTRACT<\/jats:title>\n \n Introduction<\/jats:title>\n Artificial Intelligence (AI) is one of the rapidly evolving areas of diagnostic imaging; however, the extent to which medical professionals are willing to apply these tools to routine care in India has not been thoroughly researched. This is a cross\u2010sectional descriptive study that evaluated awareness, perceptions and perceived impact of AI among radiologists, orthopaedic surgeons and physicians practising in Gujarat.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n A questionnaire, designed according to Scheetz et\u00a0al., was completed by 102 practitioners in a structured manner. Frequency distributions, percentage analysis and descriptive statistics were performed.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n It was also found that 88.2% were aware of AI, with only 47.1% identifying their knowledge as average, and 13.7% as above average. Although AI is not used regularly, 52.9% reported never using AI. Most respondents had a favourable view of AI: 66.7% indicated willingness to implement AI\u2010supported clinical workflow, and 60.8% believed AI would positively affect their area. The issues raised were data security (67.6%), less dependence on specialists (62.7%) and confidence in the black\u2010box systems. Most of the respondents (64.7%) felt that AI would have a significant effect on clinical practice in the next 1\u201310\u2009years.<\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Radiologists expressed relatively more acceptance, and physicians expressed more concern with workforce implications. The results show that there is a significant interest, but unequal readiness, in the specialties. Enhancing AI\u2010specific training and developing governance models can help make the safe and ethical adoption of AI\u2010enabled diagnostic imaging.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/1754-9485.70189","type":"journal-article","created":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:07:00Z","timestamp":1791292020000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Awareness and Perception of Artificial Intelligence in Diagnostic Imaging: A Cross\u2010Speciality Survey of Indian Medical Practitioners"],"prefix":"10.1111","author":[{"given":"Mwanajuma Yahya","family":"Kassim","sequence":"first","affiliation":[{"name":"Department of Medical Imaging Technology Bapubhai Desaibhai Patel Institute of Paramedical Sciences, Charotar University of Science and Technology Anand Gujarat India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9787-493X","authenticated-orcid":false,"given":"Dolly A","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Radio Imaging Technology School of Allied Health Sciences (SAHS) Shri Guru Gobind Singh Tricentenary University (SGT) Gurugram India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shreeni","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Technology Dharamsinh Desai University Nadiad Gujarat India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4191-959X","authenticated-orcid":false,"given":"Mamta","family":"Panda","sequence":"additional","affiliation":[{"name":"Department of Medical Radiology & Imaging Technology Rayat Bahra University Kharar Punjab India"},{"name":"Department of Medical Radiology & Imaging Technology Maharishi Markandeshwar (Deemed to be University) Mullana Ambala Haryana India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santosh","family":"Ojha","sequence":"additional","affiliation":[{"name":"American Institute of Medical Sciences and Education Piscataway New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,6]]},"reference":[{"issue":"1","key":"e_1_2_9_2_1","doi-asserted-by":"crossref","first-page":"10","DOI":"10.34218\/IJEAAI_03_01_002","article-title":"AI\u2010Driven Clinical Decision Support Systems: Evaluating Impact on Diagnosis and Treatment Accuracy","volume":"3","author":"Mittal M.","year":"2025","journal-title":"International Journal of Engineering Applications of Artificial Intelligence"},{"key":"e_1_2_9_3_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2024.102555","article-title":"Stakeholder Perspectives Towards Diagnostic Artificial Intelligence: A Co\u2010Produced Qualitative Evidence Synthesis","volume":"71","author":"Ling Kuo R. Y.","year":"2024","journal-title":"EClinicalMedicine"},{"issue":"5","key":"e_1_2_9_4_1","first-page":"715","article-title":"Automated Echocardiographic Detection of Severe Coronary Artery Disease Using Artificial Intelligence","volume":"15","author":"Upton R.","year":"2022","journal-title":"JACC: Cardiovascular Imaging"},{"issue":"24","key":"e_1_2_9_5_1","doi-asserted-by":"crossref","first-page":"2472","DOI":"10.1016\/j.jacc.2024.03.400","article-title":"Artificial Intelligence for Cardiovascular Care\u2014Part 1: Advances","volume":"83","author":"Elias P.","year":"2024","journal-title":"Journal of the American College of Cardiology"},{"issue":"4","key":"e_1_2_9_6_1","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.3390\/tomography9040115","article-title":"Analyzing Barriers and Enablers for the Acceptance of Artificial Intelligence Innovations Into Radiology Practice: A Scoping Review","volume":"9","author":"Eltawil F. A.","year":"2023","journal-title":"Tomography"},{"issue":"2","key":"e_1_2_9_7_1","doi-asserted-by":"crossref","first-page":"72","DOI":"10.5005\/jcird-11034-0022","article-title":"Readiness for Digital Dentistry in Practice: A Cross\u2010Specialty Assessment of Awareness, Acceptance, and Barriers","volume":"1","author":"Yadav R.","year":"2025","journal-title":"Journal of Clinical Insights and Research in Dentistry"},{"issue":"14","key":"e_1_2_9_8_1","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1016\/j.jcin.2019.04.048","article-title":"Impact of Artificial Intelligence on Interventional Cardiology","volume":"12","author":"Sardar P.","year":"2019","journal-title":"JACC. Cardiovascular Interventions"},{"issue":"2","key":"e_1_2_9_9_1","doi-asserted-by":"crossref","first-page":"22","DOI":"10.69937\/pf.por.3.2.52","article-title":"Technology and Innovation in Healthcare: Adoption of AI and Predictive Analytics in Hospital Management","volume":"3","author":"Urbi S. R. C.","year":"2025","journal-title":"Pathfinder of Research"},{"issue":"1","key":"e_1_2_9_10_1","doi-asserted-by":"crossref","first-page":"5058","DOI":"10.1038\/s41598-021-84698-5","article-title":"A Survey of Clinicians on the Use of Artificial Intelligence in Ophthalmology, Dermatology, Radiology and Radiation Oncology","volume":"11","author":"Scheetz J.","year":"2021","journal-title":"Scientific Reports"},{"issue":"8","key":"e_1_2_9_11_1","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1111\/1754-9485.13388","article-title":"Non\u2010Radiologist Perception of the Use of Artificial Intelligence in Diagnostic Medical Imaging Reports","volume":"66","author":"Lim S. S.","year":"2022","journal-title":"Journal of Medical Imaging and Radiation Oncology"}],"container-title":["Journal of Medical Imaging and Radiation Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1754-9485.70189","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/1754-9485.70189","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1754-9485.70189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:07:04Z","timestamp":1791292024000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1754-9485.70189"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,6]]},"references-count":10,"alternative-id":["10.1111\/1754-9485.70189"],"URL":"https:\/\/doi.org\/10.1111\/1754-9485.70189","archive":["Portico"],"relation":{},"ISSN":["1754-9477","1754-9485"],"issn-type":[{"value":"1754-9477","type":"print"},{"value":"1754-9485","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,6]]},"assertion":[{"value":"2026-01-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-09","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-10-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"1754-9485.70189"}}