Journal of Technology and Humanities https://ejournal.jthkkss.com/index.php/jthkkss <div class="elementor-element elementor-element-mdn7b1v elementor-widget elementor-widget-text-editor" data-id="mdn7b1v" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <div class="elementor-text-editor elementor-clearfix"> <p>An international research journal that invites original articles.</p> </div> </div> </div> <div class="elementor-element elementor-element-83ap3ck elementor-widget elementor-widget-heading" data-id="83ap3ck" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h4 class="elementor-heading-title elementor-size-default">Journal of Technology and Humanities (J TECHNOL HUM)</h4> </div> </div> <div class="elementor-element elementor-element-x1twvni elementor-widget elementor-widget-text-editor" data-id="x1twvni" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <div class="elementor-text-editor elementor-clearfix"> <p>The J TECHNOL HUM is an international research journal that invites original articles. The journal aims to provide an international forum for the presentation of original fundamental research, interpretative reviews and discussion of new developments in the area of technology. This journal also aims to publish high-quality peer-reviewed research articles in the fields shown below (not limited to) : Education, Islamic Studies, Business and Management, Language and Linguistics, Communication and Media, Environmental Studies, Psychology and Sociology, Policies and Government Studies.</p> <p>J TECHNOL HUM is published online with a frequency of TWO (2) issues per year (July and December). Besides that, special issues of J TECHNOL HUM will be published non-periodically from time to time.</p> </div> </div> </div> Kolej Komuniti Sungai Siput en-US Journal of Technology and Humanities 2710-6357 Perceived Impact of Artificial Intelligence on Work-Related Stress Among Nigerian Radiographers: A Cross-Sectional Survey https://ejournal.jthkkss.com/index.php/jthkkss/article/view/231 <p>The rapid demand for utilisation of medical imaging has led to increased workload among radiographers. The integration of artificial intelligence systems into imaging for seamless workflows, equipment operation, medical safety and image review processes has potential to assist radiographers with many of the demanding tasks. However, such advances in Artificial Intelligence (AI) may also introduce a new source of work-related stress, which has yet to be fully addressed. This study assessed Work-Related Stress (WRS), evaluated AI's perceived impact, and examined their relationship among Nigerian radiographers. An exploratory cross-sectional online survey of 296 Nigerian radiographers (June-October 2023) assessed WRS causes, AI perceptions, and job security concerns. Spearman's correlation and multiple regression were used to examine relationships, with Bonferroni correction for multiple comparisons. Reliability was confirmed (Cronbach's α: 0.79-0.86). Most respondents (64.5%) affirmed WRS directly impacts well-being and performance, with intensive work (mean=3.84/5) the primary stressor. Over 84.1% believed AI would assist workloads and improve clinical care, significantly correlated with anticipated stress reduction (ρ=0.614, p&lt;0.001). However, 43% lacked coding skills, and concerns about role extension (mean=2.45/3) and job displacement (2.41/3) persisted. Regression revealed AI perception as the strongest predictor of anticipated stress reduction (β=0.482, p&lt;0.001), with coding skills (β=0.218, p=0.008) as secondary. AI holds significant potential to reduce WRS among Nigerian radiographers, yet successful implementation requires addressing significant skill gaps and job security concerns through targeted upskilling, clear role definition, and supportive management.</p> Shakirah G. AbdulAzeez Kudirat Lawal-Adesina Musa Y. Dambele Womi C. Iboh Abdul Fatai K. Bakre Copyright (c) 2026 Shakirah G. AbdulAzeez, Kudirat Lawal-Adesina, Musa Y. Dambele, Womi C. Iboh, Abdul Fatai K. Bakre https://creativecommons.org/licenses/by-nc-sa/4.0 2026-07-21 2026-07-21 7 2 1 10 10.53797/jthkks.v7i2.1.2026