Aaron J Gorelik, Mengyuan Li, Jessica Hahne, Junyi Wang, Yongqi Ren, Lei Yang, Xin Zhang, Xing Liu, Xiaomin Wang, Ryan Bogdan, Brian D Carpenter
{"title":"Ethics of AI in healthcare: a scoping review demonstrating applicability of a foundational framework.","authors":"Aaron J Gorelik, Mengyuan Li, Jessica Hahne, Junyi Wang, Yongqi Ren, Lei Yang, Xin Zhang, Xing Liu, Xiaomin Wang, Ryan Bogdan, Brian D Carpenter","doi":"10.3389/fdgth.2025.1662642","DOIUrl":"10.3389/fdgth.2025.1662642","url":null,"abstract":"<p><p>Artificial Intelligence (AI) is increasingly being adopted across many industries including healthcare. This has brought forth the development of many new independent ethical frameworks for responsible use of AI within institutions and companies. Risks associated with the application of AI in healthcare have high stakes for patients. Further, the existence of multiple frameworks may exacerbate these risks due to potential differences in interpretation and prioritization in said frameworks. Resolving these risks requires an ethical framework that is both broadly adopted in healthcare settings and applicable to AI. Here, we examined whether a framework consisting of the 4 well-established principles of biomedical ethics (i.e., Beneficence, Non-Maleficence, Respect for Autonomy, and Justice) can serve as a foundation for an ethical framework for AI in healthcare. To this end, we conducted a scoping review of 227 peer-reviewed papers using semi-inductive thematic analyses to categorize patient-related ethical issues in healthcare AI under these 4 principles of biomedical ethics. We found that these principles, which are already widely adopted in healthcare settings, were comprehensively and internationally applicable to ethical considerations concerning use of AI in healthcare. The existing four principles of biomedical ethics can provide a foundational ethical framework for applying AI in healthcare, grounding other Responsible AI frameworks, and can act as a basis for AI governance and policy in healthcare.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1662642"},"PeriodicalIF":3.2,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12459206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dilfa Juniar, Wouter van Ballegooijen, Gabrielle Kleygrewe, Anneke van Schaik, Jan Passchier, Heleen Riper
{"title":"Stress management interventions for university students in low-and middle-income countries: a systematic review and meta-analysis.","authors":"Dilfa Juniar, Wouter van Ballegooijen, Gabrielle Kleygrewe, Anneke van Schaik, Jan Passchier, Heleen Riper","doi":"10.3389/fdgth.2025.1603389","DOIUrl":"10.3389/fdgth.2025.1603389","url":null,"abstract":"<p><strong>Background: </strong>Stress is one of major issues among university students which can lead to negative academic performance and poor quality of life. Stress-management interventions (SMIs) have been proved as being effective in helping university students cope with stress. However, most of prior studies focused on high income countries while there is still scarce evidence for low-and-middle-income countries (LMICs). The objective of the present study was to examine the effectiveness of SMIs in reducing stress level experienced by university students in LMICs.</p><p><strong>Methods: </strong>Systematic searches were carried out in PubMed, Embase, APA PsycInfo, ERIC, Web of Science, and Cochrane Central up to March 2024. Of 8180 hits, we identified 28 Randomized Control Trials to be included in the analysis. Effect size (Hedge's <i>g</i>) were calculated for stress level outcomes at post-treatment.</p><p><strong>Results: </strong>The effect size of all included studies was high and statistically significant [<i>g</i> = -0.85; 95% CI (-1.34, -0.36); <i>p</i> = .002] with high heterogeneity across studies [<i>I</i> <sup>2</sup> = 92.89%; 95% CI (90.94, 94.42); <i>p</i> < 0.001]. After removing outliers, the pooled effect size was corrected to medium effect [<i>g</i> = -0.61; 95% CI (-0.75, -0.47); <i>p</i> < .001] with moderate heterogeneity [<i>I</i> <sup>2</sup> = 38.9%; 95% CI (0, 62.7); <i>p</i> = .033]. Most studies had methodological limitations, including high risk of bias, small sample sizes, and the use of passive control groups (e.g., waitlist or no treatment). No significant subgroup differences were found in theoretical orientation, format of intervention, control condition, country region, and risk of bias category.</p><p><strong>Conclusion: </strong>Our results indicated that SMIs effectively reduce stress among university students in LMICs. However, the overall body of evidence is limited by concerns regarding methodological rigor, and findings should be interpreted with caution. Despite these limitations, digital formats appear to hold promising potential for further development and implementation in LMIC settings, particularly given their promising scalability and cost-efficiency.</p><p><strong>Systematic review registration: </strong>The study protocol was registered in the Open Science Framework. The accessible link is https://doi.org/10.17605/OSF.IO/GHSEB.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1603389"},"PeriodicalIF":3.2,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12457673/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manuela Deodato, Raffaele Sabot, Alessandra Galmonte, Alvisa Palese, Greta Castellini, Andrea Turolla, Paolo Pillastrini, Chad Cook, Lia Rodeghiero, Silvia Gianola, Giacomo Rossettini
{"title":"Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.","authors":"Manuela Deodato, Raffaele Sabot, Alessandra Galmonte, Alvisa Palese, Greta Castellini, Andrea Turolla, Paolo Pillastrini, Chad Cook, Lia Rodeghiero, Silvia Gianola, Giacomo Rossettini","doi":"10.3389/fdgth.2025.1671521","DOIUrl":"10.3389/fdgth.2025.1671521","url":null,"abstract":"<p><strong>Introduction: </strong>Artificial Intelligence (AI) Chatbots are increasingly being integrated into healthcare, but little is known about their role in physiotherapy. This study investigated the knowledge and use, perceived benefits, limits, and barriers of AI Chatbots in the Italian physiotherapy community.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted between March and July 2024. Italian physiotherapists, members of the Associazione Italiana di Fisioterapia (AIFI), were invited through mailing lists and social media. Inclusion criteria: AIFI membership, current employment as a physiotherapist, Italian language proficiency, and willingness to participate. A total of 415 out of 2,773 physiotherapists responded (15% response rate); 50.6% were women, and 50.4% had more than 10 years of experience. The survey comprised four sections: (a) respondent characteristics; (b) knowledge and use of AI Chatbots; (c) perception of benefits; and (d) perception of limits and barriers. Descriptive statistics and multivariable logistic regression analyses were performed.</p><p><strong>Results: </strong>Overall, 93.3% of physiotherapists had heard of AI Chatbots, but 66.9% had never used them in clinical practice. Among those who had, 11.3% reported a \"positive\" and 14.5% a \"very positive\" experience. Despite limited use, 78% expressed a positive attitude towards future adoption, and 50% considered AI Chatbots potentially helpful in clinical practice. Reported risks included patient self-diagnosis (84.4%), spread of false information (72.1%), and reduced human interaction (64%). Having more than 21 years of experience was significantly associated with a higher frequency of AI Chatbot use (OR: 5.93, <i>p</i> = 0.013). Age was also a significant predictor of use frequency (OR: 1.05, <i>p</i> = 0.013), with older physiotherapists reporting more frequent AI use.</p><p><strong>Conclusion: </strong>Italian physiotherapists acknowledged both opportunities and risks in implementing AI Chatbots. Although current adoption is limited, the overall positive attitude suggests a likely increase in future use. Targeted strategies, including guidelines and educational initiatives, are needed to ensure safe and effective integration into clinical practice.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1671521"},"PeriodicalIF":3.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12450932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Salma Seddik, Ahmed Taha Aboushady, Ahmed Nawwar, Omar Emam, Mahmoud Hemida, Mennatallah Zohny, Adham Ramadan, Eslam Aboismail, Noha M AbuBakr Elsaid, Amira Hegazy
{"title":"Youth perspectives on information and trust during COVID-19: evidence from Egypt.","authors":"Salma Seddik, Ahmed Taha Aboushady, Ahmed Nawwar, Omar Emam, Mahmoud Hemida, Mennatallah Zohny, Adham Ramadan, Eslam Aboismail, Noha M AbuBakr Elsaid, Amira Hegazy","doi":"10.3389/fdgth.2025.1563203","DOIUrl":"10.3389/fdgth.2025.1563203","url":null,"abstract":"<p><strong>Introduction: </strong>The detrimental effects of the COVID-19 global pandemic have significantly changed the world's view on enacting policies. Egypt has adopted various protocols and measures to control the spread of its causative virus, SARS-CoV-2. This study aims to examine the public trust in decision-makers and help address possible gaps between the sources of information, theoretical guidelines, implementation, and the confidence of youth in response to the pandemic by the main actors involved.</p><p><strong>Methods: </strong>An online structured cross-sectional survey was conducted among Egyptian youth during the early COVID-19 pandemic. The questionnaire collected variables, including socio-demographic characteristics, sources of information, and the respondent's confidence in these sources.</p><p><strong>Results: </strong>Out of 406 online respondents, males and females represented, 41.8% and 58.6%, respectively. Ninety-five percent of the respondents received a university or postgraduate education, of which 63.5% were in the medical field, and 82.3% lived in rural areas. Over forty percent reported their source of information was T.V., and 30.3% relied on social media, despite most of the respondents being unconfident in both. In addition, 12.8% and 5.9% reported that their source of information was the Ministry of Health and the WHO, respectively. Over seventy-seven percent of the respondents were concerned with the decisions taken by key actors in the pandemic situation, while 15% were neutral, and 5.4% were not concerned.</p><p><strong>Conclusion: </strong>Infodemics is a substantial public health threat. Public health authorities and governments should take action to ensure comprehensive health information literacy and develop information technology strategies that promote access to evidence-based information.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1563203"},"PeriodicalIF":3.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12450864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daisuke Tomita, Mohamed Abdelhakim, Julia Bartkova, Akkoyun Gulsum, Atsushi Sato, Naif H Alshiblan Alotaibi, Mamdouh Aboulhassan, Li Dongcai, Yumiko Tomita
{"title":"From innovation to integration: a global mixed-methods study of VR, metaverse, and 3D simulation in healthcare training and clinical setting.","authors":"Daisuke Tomita, Mohamed Abdelhakim, Julia Bartkova, Akkoyun Gulsum, Atsushi Sato, Naif H Alshiblan Alotaibi, Mamdouh Aboulhassan, Li Dongcai, Yumiko Tomita","doi":"10.3389/fdgth.2025.1632528","DOIUrl":"10.3389/fdgth.2025.1632528","url":null,"abstract":"<p><strong>Background: </strong>Immersive technologies in healthcare including virtual reality (VR), metaverse platforms, and 3D display technology are transforming global healthcare by improving medical education, advancing surgical training, enhancing patient preparedness, and facilitating remote collaboration. Adoption varies regionally due to infrastructure, cost, and digital literacy gaps. This study examined their impact on healthcare training and delivery outcomes and identified key integration barriers.</p><p><strong>Methods: </strong>This mixed-methods instructional-integration study spanning four regions, Japan, the Middle East and North Africa, China, and the United States, utilized pre- and post-training surveys. Participant confidence in using immersive technologies was rated on a 5-point Likert scale. Paired t-tests determined significance. Thematic analysis of qualitative data (open-ended responses) identified key benefits and implementation challenges.</p><p><strong>Results: </strong>Of 350 healthcare professionals, 300 completed both surveys. Confidence improved significantly across all technologies: VR simulators (2.8-4.2), metaverse platforms (3.1-4.0), and 3D display systems (3.2-4.3), all <i>p <</i> 0.05. Regional trends were consistently positive, with favorable outcomes in surgical precision and spatial understanding (Cairo University, Al Faisal University). Thematic analysis cited expense (62%), limited infrastructure (56%), and need for context-specific training (49%) as key barriers; 88% of participants reported increased willingness towards applying immersive technology in healthcare settings.</p><p><strong>Discussion: </strong>Immersive technologies significantly enhance medical education and procedural training, demonstrating cross-regional applicability. Favorable feedback-based gains in user confidence underscore their transformative potential. Equitable adoption requires tackling systemic barriers through strategic investment, localized customization, and international collaboration. These findings offer actionable insights to inform policy and program development for digital healthcare transformation.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1632528"},"PeriodicalIF":3.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12451944/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustainable service quality assessment of Chinese healthcare e-government: a multi-criteria decision framework based on SERVQUAL model and entropy-weight TOPSIS method.","authors":"Yilin Xia, Bei Li, Jian Yang, Weixi Guo, Jianwei Sun, Xu Zeng, Jing Zheng","doi":"10.3389/fdgth.2025.1611979","DOIUrl":"10.3389/fdgth.2025.1611979","url":null,"abstract":"<p><strong>Introduction: </strong>Healthcare e-government plays a vital role in advancing the United Nations 2030 Agenda for Sustainable Development, by disseminating vital information and delivering essential services, particularly during the coronavirus disease 2019 (COVID-19) pandemic. China faces challenges within the context of health care, such as limited infrastructure and equitable healthcare access, underscoring the necessity of evaluating and improving the quality of healthcare e-government services.</p><p><strong>Methods: </strong>This study proposes a novel multicriteria decision-making framework for systematically evaluating the quality of healthcare e-government services. The framework structurally extends the SERVQUAL model into 5 first-level and 31 s-level dimensions tailored to digital governance and integrates it with the entropy weight method and the technique for order of preference by similarity to ideal solution. This hybrid methodology enables objective, scalable, and theory-based assessment. To validate its effectiveness, the model was empirically applied to 17 Chinese municipal health commission websites in the period of 2019-2024 to validate its effectiveness.</p><p><strong>Results: </strong>The results revealed that empathy represents the most critical quality gap among the evaluated healthcare e-government services, while cross-platform interoperability has become a strategic focus for system improvement. These results highlighted that sustainable service quality is contingent on both robust technical infrastructure and human-centric factors.</p><p><strong>Discussion: </strong>The proposed framework can offer policymakers a replicable decision-support tool by bridging the gap between operational performance and sustainable service delivery, particularly in developing regions. This provides practical insights into achieving digital healthcare transformation, contributing to the United Nations Sustainable Development Goals, offers a scalable evaluation approach for comparative research in digital governance, and promotes global e-government systems.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1611979"},"PeriodicalIF":3.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12450976/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial: Artificial intelligence for child health and wellbeing.","authors":"Florian B Pokorny, Katrin D Bartl-Pokorny","doi":"10.3389/fdgth.2025.1685788","DOIUrl":"10.3389/fdgth.2025.1685788","url":null,"abstract":"","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1685788"},"PeriodicalIF":3.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446228/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145115272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nirit Putievsky Pilosof, Yaara Welcman, Michael Barrett, Eivor Oborn, Stephen Barrett
{"title":"Building digital resilience: leading healthcare transformation through an online community.","authors":"Nirit Putievsky Pilosof, Yaara Welcman, Michael Barrett, Eivor Oborn, Stephen Barrett","doi":"10.3389/fdgth.2025.1656804","DOIUrl":"10.3389/fdgth.2025.1656804","url":null,"abstract":"<p><strong>Introduction: </strong>Healthcare systems globally face systemic vulnerabilities, such as crisis response, insufficient capacity, lack of integration, and rising care costs while simultaneously being pressured to accelerate the shift toward digital health solutions. In response, new organizational forms and digitally enabled collaborations have emerged to support care continuity and innovation. This study examines how digital resilience can be built at a system level through a national online community of healthcare professionals. Drawing on a longitudinal qualitative case study of Israel's Digital Health Community, an initiative launched by the Ministry of Health in 2020 in response to COVID-19 crisis, we explore how a digitally mediated, cross-sectoral online community with more than 1,200 medical professionals from various disciplines and organizations enabled national healthcare transformation through digital resilience.</p><p><strong>Methods: </strong>Using interviews, observations, and digital document analysis conducted over four years, we trace how the online community enabled systemic resilience through three interconnected dynamics: the redefinition of roles and responsibilities across disciplines, enhanced collaboration across organizations and governance levels, and the development of a culture of innovation.</p><p><strong>Results: </strong>By challenging existing norms, the online community facilitated an entrepreneurship approach, fostering leadership in healthcare transformation and overcoming professional resistance to change. These interactions helped generate integrated models of care, informed national digital health regulation, and enabled rapid experimentation in service design and delivery. We argue that digital resilience plays an important role in enabling these healthcare transformations.</p><p><strong>Discussion: </strong>We present a conceptual model that illustrates how digital resilience is produced not as a fixed organizational trait, but as an emergent, multi-level outcome of structured community engagement. It highlights the need for new governance models that merge top-down and bottom-up involvement and leadership, moving from hierarchical to network structures to diffuse innovation and transformation among diverse stakeholders across the healthcare ecosystem.</p><p><strong>Conclusions: </strong>Our findings contribute to the growing literature on digital health transformation by highlighting the role of participatory, networked approaches to resilience-building. The study offers actionable insights for policymakers and health system leaders seeking to institutionalize adaptive capacity through digitally enabled collaboration.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1656804"},"PeriodicalIF":3.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446309/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145115251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi-Xiang Zhang, Hao-Tian Yin, Ya-Xing Liu, Xin Fu, Jun Liu
{"title":"Videos in short-video sharing platforms as sources of information on osteoarthritis: cross-sectional content analysis study.","authors":"Yi-Xiang Zhang, Hao-Tian Yin, Ya-Xing Liu, Xin Fu, Jun Liu","doi":"10.3389/fdgth.2025.1622503","DOIUrl":"10.3389/fdgth.2025.1622503","url":null,"abstract":"<p><strong>Background: </strong>Osteoarthritis (OA) is a debilitating condition characterized by pain, stiffness, and impaired mobility, significantly affecting patients' quality of life. Health education is crucial in helping individuals understand OA and its management. In China, where OA is highly prevalent, platforms such as TikTok, WeChat, and XiaoHongshu have become prominent sources of health information. However, there is a lack of research regarding the reliability and educational quality of OA-related content on these platforms.</p><p><strong>Methods: </strong>This study analyzed the top 100 OA-related videos across three major platforms: TikTok, WeChat, and XiaoHongshu. We systematically evaluated the content quality, reliability, and educational value using established tools, such as the DISCERN scale, JAMA benchmark criteria, and the Global Quality Score (GQS) system. The study also compared differences in video content across platforms, offering insights into their relevance for addressing professional needs.</p><p><strong>Results: </strong>Video quality varied significantly between platforms. TikTok outperformed WeChat and XiaoHongshu in all scoring criteria, with mean DISCERN scores of 32.42 (SD 0.37), 24.57 (SD 0.34), and 30.21 (SD 0.10), respectively (<i>P</i> < 0.001). TikTok also scored higher on the JAMA (1.36, SD 0.07) and GQS (2.46, SD 0.08) scales (<i>P</i> < 0.001). Videos created by healthcare professionals scored higher than those created by non-professionals (<i>P</i> < 0.001). Disease education and symptom self-examination content were more engaging, whereas rehabilitation videos received less attention.</p><p><strong>Conclusions: </strong>Short-video platforms have great potential for chronic disease health education, with the caveat that the quality of the videos currently varies, and the authenticity of the video content is yet to be verified. While professional doctors play a crucial role in ensuring the quality and authenticity of video content, viewers should approach it with a critical mindset. Even without medical expertise, viewers should be encouraged to question the information and consult multiple sources.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1622503"},"PeriodicalIF":3.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446246/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145115309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zufishan Alam, Aminu S Abdullahi, Shamma Nayea Salem Alnuaimi, Hanouf Abubaker Al Shaka, Saif Slayem Saif Alderei, Ahmed Abdulla Ali Alhemeiri, Hayma Khorzom, Hamad Jumaa Mubarak Almaskari, Khalid Abdulrahman Almaamari, Khalifa Al Seiari, Mohammed Al Saadi, Nasser Al Shamsi, Omar Al Zaabi, Saoud Altamimi, Azhar T Rahma
{"title":"eHealth literacy and attitudes towards use of artificial intelligence among university students in the United Arab Emirates, a cross-sectional study.","authors":"Zufishan Alam, Aminu S Abdullahi, Shamma Nayea Salem Alnuaimi, Hanouf Abubaker Al Shaka, Saif Slayem Saif Alderei, Ahmed Abdulla Ali Alhemeiri, Hayma Khorzom, Hamad Jumaa Mubarak Almaskari, Khalid Abdulrahman Almaamari, Khalifa Al Seiari, Mohammed Al Saadi, Nasser Al Shamsi, Omar Al Zaabi, Saoud Altamimi, Azhar T Rahma","doi":"10.3389/fdgth.2025.1574263","DOIUrl":"10.3389/fdgth.2025.1574263","url":null,"abstract":"<p><strong>Introduction: </strong>With the rapid digitalization of healthcare information and the increasing dependability on online health resources, it has become crucial to understand digital health literacy and the use of emerging AI technologies like ChatGPT among stakeholders. This is of particular importance in the United Arab Emirates which has the highest internet penetration rates.</p><p><strong>Method: </strong>This study aimed to assess eHealth literacy and the factors influencing it among university students in the United Arab Emirates. Their attitudes towards ChatGPT use were also explored. Data from participants, studying in the public universities of UAE, was collected between April-July 2024 using eHEALS and TAME Chat GPT instruments.</p><p><strong>Results: </strong>Results indicated a mean eHealth literacy score of 29.3 out of 40, with higher scores among females and those in health-related disciplines. It was also found that students with higher eHealth literacy perceived ChatGPT as more useful in healthcare, despite their concerns about its risks and potential to replace healthcare professionals.</p><p><strong>Discussion: </strong>The findings from the study underscore the need of development of tailored digital health curricula, to enhance eHealth literacy particularly in subgroups showing lower literacy scores. Moreover, it is also imperative to develop guidelines for responsible and ethical AI use in health information seeking.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1574263"},"PeriodicalIF":3.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443675/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145115275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}