{"title":"Enhancing Clinical Learning Environments in Radiography Education.","authors":"Shellaine K Thacker","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose: </strong>To qualitatively investigate how students' interactions with radiologic technologists during clinical rotations influence student learning outcomes, emotional well-being, and professional identity formation in radiography programs based in the United States.</p><p><strong>Methods: </strong>An analysis of responses from 55 graduates of radiography programs was conducted using an electronic questionnaire consisting of 6 open-ended questions. Participants were distributed across 12 cohorts and clinical sites and had graduated in 2013 through 2024. Data analysis followed thematic analysis framework with an abductive coding approach, integrating established radiography education theoretical codes with emergent codes.</p><p><strong>Results: </strong>Slightly more than half (50.9%) of participants reported exclusively positive experiences with radiologic technologists characterized by willingness to teach, encouragement, and helpfulness, and 9.1% reported purely negative experiences characterized by poor attitudes toward students, unhelpfulness, and resistance to teaching. The remaining 40.0% reported mixed experiences. Positive interactions enhanced clinical performance, confidence, and professional identity; negative experiences diminished motivation, created emotional distress, and influenced career trajectories. Participants who encountered negative treatment often made conscious decisions to not repeat negative behaviors if they interact with students.</p><p><strong>Discussion: </strong>The findings demonstrate that interactions with radiologic technologists shape future imaging professionals' development. The substantial proportion of participants who reported mixed experiences indicates room for improvement in clinical learning environments.</p><p><strong>Conclusion: </strong>Evidence-based recommendations include structured education for clinical instructors, enhanced student mentorship programs, improved preclinical preparation, and strengthened communication systems between students and faculty. This research provides insights into optimizing clinical learning environments and supporting development of students into competent, confident imaging professionals.</p>","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 6","pages":"391-401"},"PeriodicalIF":0.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reframing the Balance Between Life and Work for Radiologic Technologists.","authors":"Sanjay K Arya","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 6","pages":"403-407"},"PeriodicalIF":0.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Importance of Instructor Presence and Human Connection in Education.","authors":"Marcus Wilborn","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 6","pages":"425-430"},"PeriodicalIF":0.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148407028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Site Visitors: The Unsung Heroes of the Accreditation Process.","authors":"Kelli Welch Haynes","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"371-373"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Harnessing AI to Enhance Classroom Pedagogy.","authors":"Kathryn Vavrica","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"329-332"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of AI-Generated Radiography Responses Using a Closed-System LLM.","authors":"Kevin R Clark","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the accuracy and educational utility of Microsoft Copilot's (GPT-4, July 2025, closed-system version) responses to radiography questions through expert assessment, with a focus on strengths, limitations, and implications for radiologic science education.</p><p><strong>Methods: </strong>This qualitative descriptive study evaluated Copilot's responses to 15 open-ended radiography questions derived from the American Registry of Radiologic Technologists Radiography Examination Content Specifications. Seven subject matter experts with extensive clinical and teaching experience independently reviewed the artificial intelligence (AI)-generated responses for accuracy and educational utility. Feedback was collected using Microsoft Forms and analyzed inductively following a 6-phase thematic analysis framework.</p><p><strong>Results: </strong>Thematic analysis revealed 6 overarching themes: accuracy and completeness of content, scope of practice and role clarification, outdated terminology and standards, formatting and presentation strengths, utility as a learning aid, and need for specificity and context. Experts praised the clarity, structure, and organization of responses and noted their potential as supplemental study aids. However, concerns were raised about incomplete or superficial content, attributions outside a radiologic technologist's scope of practice, outdated terminology and standards (including shielding and grid use), lack of specificity, and insufficient clinical context.</p><p><strong>Discussion: </strong>Findings suggested that although Copilot might provide structured and accessible support for radiography learners, its limitations could result in outdated or inaccurate practices if used without a critical lens. The closed-system design further constrained educational utility by preventing transparent sourcing. For radiography education, these results highlighted the importance of embedding critical AI literacy skills into curricula so that students learn to evaluate, verify, and contextualize AI-generated outputs.</p><p><strong>Conclusion: </strong>Copilot demonstrated potential as a supplemental learning aid in radiography education, but outdated terminology, technical inaccuracies, and lack of sourcing constrained its reliability. Future research should compare multiple AI platforms, assess student learning outcomes, and explore strategies for embedding AI literacy and institutional safeguards to support safe, effective integration into health professions education.</p>","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"310-318"},"PeriodicalIF":0.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danielle M Mcdonagh, Victoria Olsen, Anthony Machuca, Vishruta Dumane, Matias Prando, Maria P Dimopoulos
{"title":"A Practice-Aligned Approach to Integrating AI in Radiation Sciences Education.","authors":"Danielle M Mcdonagh, Victoria Olsen, Anthony Machuca, Vishruta Dumane, Matias Prando, Maria P Dimopoulos","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"320-328"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Intentional and Ethical Integration of AI in Medical Imaging.","authors":"Dean Anthony Turpin","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"355-363"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Artificial Intelligence to Enhance Analysis of Chest Computed Tomography.","authors":"Teri L Schott","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"349-351"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}