Gerardo Luna-Gijón, Carlos Arroyo, Ana Cristina Minor-Gutiérrez
{"title":"Scientific infographic on robotic surgery: Evaluation of science health communication through storytelling and information design.","authors":"Gerardo Luna-Gijón, Carlos Arroyo, Ana Cristina Minor-Gutiérrez","doi":"10.1080/17453054.2025.2577432","DOIUrl":"10.1080/17453054.2025.2577432","url":null,"abstract":"<p><p>Scientific communications help individuals to be better informed on health issues. Robot-assisted surgery is currently a topic of growing concern within private health sector in Mexico and, eventually, it will also reach the public health system; however, the gap among the population in terms of health knowledge affects their ability in decision making when it comes to personal treatment. The objective of this project is to evaluate a scientific infographic about robotic surgery. The informative quality of the contents was tested, as well as the visual storytelling produced by Medical Illustration, and their ability to bring the subject closer to the people. This qualitative study situated in Puebla, Mexico, included participants who were selected using a non-probability sampling technique and divided into four groups. For the first three groups, open-ended interviews and observations were conducted. For the fourth group, data was collected using an online form. Findings suggest Information Design practices are effective strategies that strengthen infographic results, therefore helping to optimise the informative experience by using a variety of visual representations to enhance its storytelling. This is translated to augmenting infographic's explanatory and informative richness, triggering deeper interest and understanding in the subject of robot-assisted surgery.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"114-125"},"PeriodicalIF":0.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145368934","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}
Lisa J Kremer, Liza Edmonds, Angela Caisip, Heramaahina Eketone
{"title":"We are here. Medical imagery reflecting whānau Māori in neonatal intensive care settings.","authors":"Lisa J Kremer, Liza Edmonds, Angela Caisip, Heramaahina Eketone","doi":"10.1080/17453054.2025.2584971","DOIUrl":"10.1080/17453054.2025.2584971","url":null,"abstract":"<p><p>Readily available medical resources often do not include diverse skin colours of global populations. Within our research area of retinopathy of prematurity, we noticed the lack of skin colour diversity and toi Māori (Māori art) in information resources. This commentary describes a collaboration with a ringatoi Māori (Māori artist), resulting in the creation of toi Māori to be included in medical resources for pēpi receiving retinopathy of prematurity eye examinations in Aotearoa New Zealand. The use of toi Māori assists in communicating health information to patients and their whānau and including diverse skin colours contributes to improved diagnostic training of health professionals and subsequent timely diagnosis and treatment of medical conditions within diverse skin populations.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"126-131"},"PeriodicalIF":0.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145514566","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}
Morgan Titmus, Paul Ellery, Gary Whittaker, HuiJun Chih, Jessica Snelling, Madeleine Branson, Petra Helmholz, Zhonghua Sun
{"title":"Student perceptions of photogrammetric 3D cardiac models generated by use of a smartphone and high-resolution camera.","authors":"Morgan Titmus, Paul Ellery, Gary Whittaker, HuiJun Chih, Jessica Snelling, Madeleine Branson, Petra Helmholz, Zhonghua Sun","doi":"10.1080/17453054.2025.2591666","DOIUrl":"10.1080/17453054.2025.2591666","url":null,"abstract":"<p><p>Digital anatomy specimens are increasingly being produced using photogrammetric modelling, but student perceptions of their usability and fidelity are infrequently evaluated. This study used a high-resolution digital camera (hrDC) and smartphone camera to create photogrammetric models of a porcine heart and evaluated their usability (primary aim) and visual fidelity (secondary aim). Student evaluation (n = 52) of prototype models using a Likert-type questionnaire was undertaken. Results demonstrated that both smartphone and hrDC-based photogrammetry produced highly usable models (median usability statement agreement = 5/5 for both hrDC and smartphone models; p = 0.325). The appearance of the smartphone-based model was significantly inferior to those produced by the high-resolution camera on multiple domains including colour (median hrDC agreement = 5/5, median smartphone agreement = 4/5; p < 0.05), texture (median hrDC agreement = 5/5, median smartphone agreement = 3/5; p < 0.05), and clarity of internal structures (median hrDC agreement = 5/5, median smartphone agreement = 4/5; p < 0.05). Specific features on the smartphone-based model were less easily identified, including the pulmonary valve (p < 0.05) and papillary muscle (p < 0.05). These data indicate that a usable anatomical model can be created with smartphone images but is of a lower fidelity when compared to those produced by a high-resolution digital camera.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"99-108"},"PeriodicalIF":0.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145662494","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":"What makes a good medical photographer?","authors":"Timothy Zoltie","doi":"10.1080/17453054.2025.2604911","DOIUrl":"10.1080/17453054.2025.2604911","url":null,"abstract":"","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"77"},"PeriodicalIF":0.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145795181","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}
Valerie C Cates, Nathan Evaniew, Ruth Ullman, Martin J Gagliardi, Glen Hazlewood, Ganesh Swamy
{"title":"Quality and visual assessment of decision aids for patients with low back pain: a scoping review.","authors":"Valerie C Cates, Nathan Evaniew, Ruth Ullman, Martin J Gagliardi, Glen Hazlewood, Ganesh Swamy","doi":"10.1080/17453054.2025.2547169","DOIUrl":"10.1080/17453054.2025.2547169","url":null,"abstract":"<p><p>Conduct a scoping review to identify existing low back pain (LBP) patient decision aids (PtDAs) and assess their use of visual aids. LBP PtDAs were identified using the Ottawa Health Research Institute (OHRI) PtDA database and PubMed. Three interdisciplinary reviewers assessed understandability and actionability using the Patient Educational Materials Assessment Tool (PEMAT), with readability evaluated via the Flesch-Kincaid Grade Level test. Six LBP PtDAs were found in the OHRI database and three in PubMed, for a total of nine. The mean PEMAT understandability score was 85%, while the mean PEMAT actionability was 68% (adequacy threshold for each section = 70%). Most used tables and scales (8/9), while fewer used pictographs (2/9), photographs (1/9), bar and pie charts (1/9), or illustrated diagrams (1/9). The mean reading level was Grade 5. Existing LBP PtDAs prioritise text over visuals and perform well on understandability and grade reading level, but less effectively on actionability. These findings highlight the need for interdisciplinary approaches to PtDA conceptualization, design, and evaluation to create tools that are relevant and impactful to patients and caregivers.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"78-86"},"PeriodicalIF":0.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875813","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":"Preference for detail in 3D anatomical models amongst professionals and laypersons.","authors":"Caroline Erolin","doi":"10.1080/17453054.2025.2600961","DOIUrl":"10.1080/17453054.2025.2600961","url":null,"abstract":"<p><p>This study investigated preference of both professionals and laypersons for different levels of detail in anatomical 3D models. Staff and students working with anatomical material at the University of Dundee, along with lay members of the public, were asked to give their preference regarding six 3D digital anatomy models. Three models showed the external anatomy of the human heart, and three showed the internal anatomy, each at varying levels of detail: low detail, medium detail, and high detail. Thirty-six participants took part in the study. Results were compared by overall preference as well as specifically in terms of the model's clarity and aesthetics. Results showed the majority of participants preferred the 'high detail' model overall as well as in terms of aesthetics, however the results for the model's clarity were more varied.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"87-98"},"PeriodicalIF":0.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145757898","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":"Celebrating Excellence in Medical Illustration: Highlights from the 2024 IMI Awards.","authors":"Bethan Howlett","doi":"10.1080/17453054.2025.2492636","DOIUrl":"https://doi.org/10.1080/17453054.2025.2492636","url":null,"abstract":"","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"1-2"},"PeriodicalIF":1.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988893","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":"What type of medical illustrations best improve understanding of scientific content? A systematic review.","authors":"Diogo Guerra","doi":"10.1080/17453054.2025.2504441","DOIUrl":"10.1080/17453054.2025.2504441","url":null,"abstract":"<p><p>The field of visual medical communication has extensively demonstrated the potential benefits of using images to communicate health and scientific concepts. However, it is still unclear which specific types of visuals enhance understanding for particular audiences. The main goal of this study is to identify trends in how style features, namely levels of realism and detail, affect the understanding of medical illustrations by different target audiences. A systematic review was conducted, searching the following scientific literature databases: APA PsycNet, Biomedcentral, DOAJ, EBSCO, ERIC, JSTOR, Pubmed, Science Direct, and Semantic Scholar. Twenty-six original research articles published between 1986 and 2023 were identified, with half of the studies conducted in the USA and South Africa. The current body of evidence supports the idea that simple medical illustrations - both schematic and realistic - may be more easily understood by audiences, particularly lay audiences. Nevertheless, realistic, more detailed illustrations may be more appropriate for individuals with higher health literacy or for medical professionals. This review also compiles practical tips for illustrators and communicators to create effective visual materials, as well as considerations regarding the role of medical illustrators in developing effective medical illustrations.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"21-43"},"PeriodicalIF":0.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081250","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":"Sketch-based animation teaching in veterinary anatomy via virtual mode during COVID-19 versus physical mode: a comparative analysis.","authors":"Devendra Pathak, Kritima Kapoor, Ratan K Choudhary, Opinder Singh, Varinder Uppal, Neelam Bansal","doi":"10.1080/17453054.2025.2535999","DOIUrl":"https://doi.org/10.1080/17453054.2025.2535999","url":null,"abstract":"<p><strong>Purpose: </strong>The present study was designed to analyse the effect of newly adopted sketch-based animated teaching of veterinary anatomy on students regarding its perceived usefulness and impact on retention of the subject knowledge.</p><p><strong>Materials and methods: </strong>The study population consisted of undergraduate veterinary students (BVSc and AH) in the physical classroom (<i>n</i> = 81), postgraduate students (<i>n</i> = 17), and veterinary students in the virtual classroom during COVID-19 (<i>n</i> = 80) who evaluated the PowerPoint presentations with sketches and animations via questionnaire. The data collected from the results of the questionnaires were analysed.</p><p><strong>Results and conclusion: </strong>The results suggested that this teaching should form part of the teaching of veterinary anatomy in combination with other teaching resources. This teaching aid is most valuable and effective in learning anatomy, especially in virtual teaching during the COVID-19 pandemic. However, a combination of this sketch-based animation teaching and face-to-face classroom teaching was suggested as the best method by students. It is further recommended to impact students' retention power on the topics taught positively. The findings suggest that sketch-based animation interactive teaching aid is the current age method of teaching veterinary anatomy. This teaching module can be thus adopted for teaching veterinary anatomy to students, making it a more simple, enjoyable, and interactive experience.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":"48 2","pages":"69-75"},"PeriodicalIF":0.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144800579","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}
Ji Soo Bae, Ga Young Kim, Hye Jin Kim, Seung-Ho Han, Kwan Hyun Youn
{"title":"Comparison of anatomy image generation capability in AI image generation models.","authors":"Ji Soo Bae, Ga Young Kim, Hye Jin Kim, Seung-Ho Han, Kwan Hyun Youn","doi":"10.1080/17453054.2025.2504491","DOIUrl":"10.1080/17453054.2025.2504491","url":null,"abstract":"<p><p>The advancement of artificial intelligence (AI) has significantly impacted various fields, and in recent years, high-performing AI image generation models have emerged. This paper explores the capabilities of these models, specifically DALL-E 2, Midjourney 5, and Stable Diffusion 1.5, in generating anatomical images where accurate depiction is crucial rather than mere creativity. The study evaluates the learning extent of anatomical terminology and the anatomical accuracy of generated images by these models across three main categories: bones, organs, and muscles. Additionally, a comparison was made a year later using the advanced versions of two models, Midjourney 6 and DALL-E 3, which had been reported to show significant improvements in image quality over their previous versions. However, even with these improvements, we conclude that AI models cannot fully replace the expertise, communication skills, and creative judgement of professional medical illustrators. This study emphasises that using AI as a complementary tool can enhance the quality of anatomical and medical communications and education, and this approach helps predict the future impact on traditional medical illustration fields.</p>","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"44-51"},"PeriodicalIF":0.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128797","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}