William F Auffermann, Nathan Barber, Ryan Stockard, Soham Banerjee
{"title":"游戏化急诊放射学教育与影像感知:切入诊断。","authors":"William F Auffermann, Nathan Barber, Ryan Stockard, Soham Banerjee","doi":"10.1117/1.JMI.12.5.051808","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Gamification can be a helpful adjunct to education and is increasingly used in radiology. We aim to determine if using a gamified framework to teach medical trainees about emergency radiology can improve perceptual and interpretive skills and facilitate learning.</p><p><strong>Approach: </strong>We obtained approval from the Institutional Review Board, and participation was voluntary. Participants received training at the RadSimPE radiology workstation simulator and were shown three sets of computed tomography images related to emergency radiology diagnoses. Participants were asked to state their certainty that an abnormality was not present, localize it if present, and give their confidence in localization. Between case sets 1 and 2, the experimental group was provided with gamified emergency radiology training on the Stab the Diagnosis program, whereas the control group was not. Following the session, participants completed an eight-question survey to assess their thoughts about the training.</p><p><strong>Results: </strong>A total of 36 medical trainees participated. Both the experimental group and control group improved in localization accuracy, but the experimental group's localization confidence was significantly greater than the control group ( <math><mrow><mi>p</mi> <mo>=</mo> <mn>0.0364</mn></mrow> </math> ). Survey results were generally positive and were statistically significantly greater than the neutral value of 3, with <math><mrow><mi>p</mi></mrow> </math> -values <math><mrow><mo><</mo> <mn>0.05</mn></mrow> </math> for all eight questions. For example, survey results indicated that participants felt the training was a helpful educational experience ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.001</mn></mrow> </math> ) and that the session was more effective for learning than traditional educational techniques ( <math><mrow><mi>p</mi> <mo>=</mo> <mn>0.001</mn></mrow> </math> ).</p><p><strong>Conclusions: </strong>Gamification may be a valuable adjunct to conventional methods in radiology education and may improve trainee confidence.</p>","PeriodicalId":47707,"journal":{"name":"Journal of Medical Imaging","volume":"12 5","pages":"051808"},"PeriodicalIF":1.7000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12458100/pdf/","citationCount":"0","resultStr":"{\"title\":\"Gamification for emergency radiology education and image perception: stab the diagnosis.\",\"authors\":\"William F Auffermann, Nathan Barber, Ryan Stockard, Soham Banerjee\",\"doi\":\"10.1117/1.JMI.12.5.051808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Gamification can be a helpful adjunct to education and is increasingly used in radiology. We aim to determine if using a gamified framework to teach medical trainees about emergency radiology can improve perceptual and interpretive skills and facilitate learning.</p><p><strong>Approach: </strong>We obtained approval from the Institutional Review Board, and participation was voluntary. Participants received training at the RadSimPE radiology workstation simulator and were shown three sets of computed tomography images related to emergency radiology diagnoses. Participants were asked to state their certainty that an abnormality was not present, localize it if present, and give their confidence in localization. Between case sets 1 and 2, the experimental group was provided with gamified emergency radiology training on the Stab the Diagnosis program, whereas the control group was not. Following the session, participants completed an eight-question survey to assess their thoughts about the training.</p><p><strong>Results: </strong>A total of 36 medical trainees participated. Both the experimental group and control group improved in localization accuracy, but the experimental group's localization confidence was significantly greater than the control group ( <math><mrow><mi>p</mi> <mo>=</mo> <mn>0.0364</mn></mrow> </math> ). Survey results were generally positive and were statistically significantly greater than the neutral value of 3, with <math><mrow><mi>p</mi></mrow> </math> -values <math><mrow><mo><</mo> <mn>0.05</mn></mrow> </math> for all eight questions. For example, survey results indicated that participants felt the training was a helpful educational experience ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.001</mn></mrow> </math> ) and that the session was more effective for learning than traditional educational techniques ( <math><mrow><mi>p</mi> <mo>=</mo> <mn>0.001</mn></mrow> </math> ).</p><p><strong>Conclusions: </strong>Gamification may be a valuable adjunct to conventional methods in radiology education and may improve trainee confidence.</p>\",\"PeriodicalId\":47707,\"journal\":{\"name\":\"Journal of Medical Imaging\",\"volume\":\"12 5\",\"pages\":\"051808\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12458100/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1117/1.JMI.12.5.051808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1117/1.JMI.12.5.051808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Gamification for emergency radiology education and image perception: stab the diagnosis.
Purpose: Gamification can be a helpful adjunct to education and is increasingly used in radiology. We aim to determine if using a gamified framework to teach medical trainees about emergency radiology can improve perceptual and interpretive skills and facilitate learning.
Approach: We obtained approval from the Institutional Review Board, and participation was voluntary. Participants received training at the RadSimPE radiology workstation simulator and were shown three sets of computed tomography images related to emergency radiology diagnoses. Participants were asked to state their certainty that an abnormality was not present, localize it if present, and give their confidence in localization. Between case sets 1 and 2, the experimental group was provided with gamified emergency radiology training on the Stab the Diagnosis program, whereas the control group was not. Following the session, participants completed an eight-question survey to assess their thoughts about the training.
Results: A total of 36 medical trainees participated. Both the experimental group and control group improved in localization accuracy, but the experimental group's localization confidence was significantly greater than the control group ( ). Survey results were generally positive and were statistically significantly greater than the neutral value of 3, with -values for all eight questions. For example, survey results indicated that participants felt the training was a helpful educational experience ( ) and that the session was more effective for learning than traditional educational techniques ( ).
Conclusions: Gamification may be a valuable adjunct to conventional methods in radiology education and may improve trainee confidence.
期刊介绍:
JMI covers fundamental and translational research, as well as applications, focused on medical imaging, which continue to yield physical and biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal. The scope of JMI includes: Imaging physics, Tomographic reconstruction algorithms (such as those in CT and MRI), Image processing and deep learning, Computer-aided diagnosis and quantitative image analysis, Visualization and modeling, Picture archiving and communications systems (PACS), Image perception and observer performance, Technology assessment, Ultrasonic imaging, Image-guided procedures, Digital pathology, Biomedical applications of biomedical imaging. JMI allows for the peer-reviewed communication and archiving of scientific developments, translational and clinical applications, reviews, and recommendations for the field.