Radiographers’ Perceptions of Artificial Intelligence and Theranostics: Implications for Job Security and Professional Adaptation

Sobechukwu Onwuzu; Adanna Uche-Nwankwo; Chinemerem Ozoamalu; Chikaosolu Ozohili; Ezinne Peter-Adim; Prisca Solomon; Precious Sopuluchukwu; Ikechuwku Onwunta

doi:10.59667/sjoranm.v27i1.18

Authors

Onwuzu Sobechukwu W.I. University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0000-0002-8298-8678 (unauthenticated)
Uche-Nwankwo Adanna Munachimsoaga University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0009-0001-0755-4714 (unauthenticated)
Ozoamalu Chinemerem Sebastian University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0009-0008-4570-581X (unauthenticated)
Ozohili Chikaosolu Vanessa University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0009-0003-9401-5392 (unauthenticated)
Peter-Adim Ezinne Stacey University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0009-0004-1053-955X (unauthenticated)
Solomon Prisca Chinecherem University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0009-0009-8367-1849 (unauthenticated)
Sopuluchukwu Precious Ogechi University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0009-0005-4262-7199 (unauthenticated)
Ikechukwu Onwunta Emmanuel University of Nigeria , Department of Medical Radiography and Radiological Sciences, University of Nigeria, Nigeria https://orcid.org/0000-0002-2556-0720 (unauthenticated)

DOI:

https://doi.org/10.59667/sjoranm.v27i1.18

Keywords:

artificial intelligence, theranostics, Radiography, job security, Professional Adaptation

Abstract

Background: Artificial Intelligence (AI) and theranostics are transforming radiographic practice by enhancing diagnostic precision and enabling personalized treatment. However, these innovations raise concerns about professional adaptation and job security.

Objectives: To investigate Nigerian radiographers’ awareness, perceptions, and adaptability regarding these technologies, with a focus on job security and professional relevance.

Method: A cross-sectional survey of 349 Nigerian radiographers assessed awareness, perceptions, and adaptability regarding AI and theranostics. Data were analyzed using descriptive statistics (SPSS v25).

Results: Awareness was higher for AI than theranostics: 31.2% were moderately familiar and 28.7% very familiar with AI, whereas 34.4% were not familiar with theranostics. Most respondents (64.5%) had not attended training or seminars. Regarding possible role displacement through automation, 107 respondents (30.7%) agreed and 35 (10.0%) strongly agreed. Further education or certification attracted agreement from 179 respondents (51.3%) and strong agreement from 79 (22.6%). Adoption as an opportunity for career growth attracted agreement from 168 respondents (48.1%) and strong agreement from 93 (26.6%). Key adaptation factors included mentorship (50.7% in the agree category), financial support (45.6% in the agree category), and curriculum integration (41.5% in the agree category).

Conclusion: Nigerian radiographers demonstrate moderate familiarity with AI but limited understanding of theranostics. While job security concerns persist, willingness to upskill is strong. Structured training, mentorship, and curriculum reform are essential to support professional adaptation and safeguard radiographers’ relevance in the era of AI and theranostics.

Contribution: This study highlights the need for radiography professional bodies and policymakers to prioritize structured training pathways, financial incentives, and cross-disciplinary collaborations to ensure radiographers remain central to technological transitions.

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Radiographers’ Perceptions of Artificial Intelligence and Theranostics

Implications for Job Security and Professional Adaptation

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