Radiologic Technology最新文献

{"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":0.5,"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}

{"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}

{"title":"Benefits of Integrating AI Into Computer-Aided Detection Systems.","authors":"Erin C Zubia","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"352-354"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788941","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":"ChatGPT as a Learning Tool in Radiologic Technology Education.","authors":"Jarek Stelmark, Manuel Livingston, Marcus Wilborn","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"364-370"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788945","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":"Verifying Outputs in Scopus AI to Promote Critical AI Literacy in Education and Research.","authors":"Kevin R Clark","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the factual accuracy and citation fidelity of Scopus AI's outputs in response to a single health care-related research question about the importance of human trafficking prevention education for professionals.</p><p><strong>Methods: </strong>This study employed a mixed-methods content verification approach. A single health care-related research question was entered into Scopus AI (Elsevier), which generated a summary, expanded summary, and concept map. Quantitative data were collected by classifying each statement in the Scopus AI output as accurate, misleading, or incorrect. Qualitative analysis provided contextual insights into citation use, source type, and interpretation of content.</p><p><strong>Results: </strong>Of the 30 statements analyzed from the Scopus AI output, 27 (90.0%) were rated as accurate, and 3 (10.0%) were categorized as misleading. No incorrect or hallucinated content was detected. Qualitative analysis revealed that Scopus AI consistently cited legitimate, peer-reviewed sources. However, in 2 cases, the tool referenced secondary sources without clarification, raising questions about source hierarchy.</p><p><strong>Discussion: </strong>Though Scopus AI produced largely reliable academic content, this study underscores the need for user verification and scholarly judgment, particularly regarding secondary sources and citation transparency. The findings highlight the importance of teaching students to critically evaluate artificial intelligence (AI)-generated material. In response to the findings, a classroom activity titled \"Fact-Check the Bot\" was developed to promote critical AI literacy. This activity guides learners in assessing AI-generated claims using a verification matrix and original literature and can be adapted for use with other AI tools.</p><p><strong>Conclusion: </strong>This study demonstrates the potential and the limitations of generative AI in academic research and offers a model for integrating verification practices into educational settings to enhance students' critical engagement with AI tools.</p>","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"303-309"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788905","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":"Use of Automated Breast Ultrasound System for 3D Imaging.","authors":"Tara Sampson","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":"97 5","pages":"346-348"},"PeriodicalIF":0.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788939","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}