Frontiers in digital health最新文献

{"title":"Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories.","authors":"Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan","doi":"10.3389/fdgth.2025.1528882","DOIUrl":"https://doi.org/10.3389/fdgth.2025.1528882","url":null,"abstract":"<p><strong>Introduction: </strong>Identifying and understanding the co-occurrence of multiple long-term conditions (MLTCs) in individuals with intellectual disability (ID) is crucial for effective healthcare management. Individuals with ID often experience earlier onset and higher prevalence of MLTCs compared to the general population, however, the specific patterns of co-occurrence and temporal progression of these conditions remain largely unexplored. This study presents an innovative unsupervised approach for examining and characterising clusters of MLTC in individuals with ID, based on their shared disease trajectories.</p><p><strong>Methods: </strong>Using a dataset of electronic health records (EHRs) from 13,069 individuals with ID, encompassing primary and secondary care data in Wales from 2000 to 2021, this study analysed the time sequences of disease diagnoses. Significant pairwise disease associations were identified, and their temporal directionality assessed. Subsequently, an unsupervised clustering algorithm-spectral clustering-was applied to the shared disease trajectories, grouping them based on common temporal patterns.</p><p><strong>Results: </strong>The study population comprised 52.3% males and 47.7% females, with a mean of 4.5 <math><mo>±</mo></math> 3 long-term conditions (LTCs) per patient. Distinct MLTC clusters were identified in both males and females, stratified by age groups (<45 and <math><mo>≥</mo></math> 45 years). For males under 45, a single cluster dominated by neurological conditions (32.4%), while three clusters were identified for older males, with the largest characterised by circulatory (51.8%). In females under 45, one cluster was found with digestive system conditions (24.6%) being most prevalent. For females <math><mo>≥</mo></math> 45 years, two clusters were identified: the first cluster was predominantly defined by circulatory (34.1%), while the second cluster by digestive (25.9%) and musculoskeletal (21.9%) system conditions. Mental illness, epilepsy, and reflux disorders were prevalent across all groups.</p><p><strong>Discussion: </strong>This study reveals complex multimorbidity patterns in individuals with ID, highlighting age and sex differences. The identified clusters provide new insights into disease progression and co-occurrence in this population. These findings can inform the development of targeted interventions and risk stratification strategies, potentially improving personalised healthcare for individuals with ID and MLTCs with the aim of improving health outcome for this vulnerable group of patients i.e. reducing frequency and length of hospital admissions and premature mortality.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1528882"},"PeriodicalIF":3.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983499/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144063443","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":"The effect of WhatsApp-based reminders on enhancing knowledge and adherence to weekly iron-folic acid supplementation among adolescent girls in Maluku, Indonesia.","authors":"Mega Clarita Laurence, Christiana Rialine Titaley, Ritha Tahitu, Elpira Asmin, Nathalie Elischeva Kailola, Sean Semuel Istia, Yudhie Djuhastidar Tando, Lershito Antonio Pasamba, Liyani Sartika Sara","doi":"10.3389/fdgth.2025.1542006","DOIUrl":"https://doi.org/10.3389/fdgth.2025.1542006","url":null,"abstract":"<p><strong>Introduction: </strong>Anemia continues to be a problem among adolescent girls, including in Indonesia. Although the Weekly Iron-Folic Acid Supplementation (WIFAS) program was introduced in 2014, adherence remains a challenge. The study aimed to evaluate the effectiveness of WhatsApp (WA) reminder messages in improving knowledge and adherence to WIFAS among adolescent girls in the Salahutu Sub-District, Maluku Province.</p><p><strong>Methods: </strong>A quasi-experimental design was employed in 2024, utilizing a pretest-posttest control group framework across two senior high schools in Salahutu Sub-District. The intervention school (<i>n</i> = 49) received WA-based reminder messages for four weeks, while the control school (<i>n</i> = 42) continued to receive routine services. We used Mann-Whitney, Fisher Exact and chi-square tests in this analysis.</p><p><strong>Results: </strong>The WA-based intervention led to a significant improvement in knowledge scores among adolescent girls from the intervention school (<i>p</i> <i><</i> <i>0.001</i>). These students were also more likely to have taken WIFAS in the week preceding the endline survey (<i>p</i> <i><</i> <i>0.001</i>) and to have consumed at least 75% of the distributed WIFAS (<i>p</i> <i>=</i> <i>0.015</i>) compared to the control school. Furthermore, the mean hemoglobin levels were significantly higher in the intervention compared to the control school (<i>p</i> <i>=</i> <i>0.001</i>).</p><p><strong>Conclusions: </strong>The WA-based reminder messages were effective in enhancing knowledge and adherence to WIFAS. Expanding this approach to a broader population is recommended before scaling up implementation across Maluku and other regions in Indonesia.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1542006"},"PeriodicalIF":3.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051621","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":"DATA 5.0-Data Acquisition, Translation & Analysis-a prospective urooncological data warehouse for the 21st century.","authors":"Viktoria Schütz, Christine Geisler, Mathias Rath, Sarah Böning, Thomas Treber, Albrecht Stenzinger, Alexander Brobeil, Oliver Reinhard, Anette Duensing, Stefan Duensing, Markus Hohenfellner, Magdalena Görtz","doi":"10.3389/fdgth.2025.1530321","DOIUrl":"https://doi.org/10.3389/fdgth.2025.1530321","url":null,"abstract":"<p><strong>Background: </strong>Prospective data registration is the basis of clinical oncological research. Commonly, case documentation is restricted to studies investigating a defined hypothesis. Only few institutions prospectively register all oncological patients with a reliable, sustainable and continuous follow-up infrastructure. The Department of Urology of the Heidelberg University Hospital started its prospective tumor data base in 1992. Since then, the clinical course of all oncological in-patients is continuously registered within a life-long follow-up (success rate: 93%). Associated tumor tissue is stored in the Heidelberg Biobank. In 2005, the transfer of this invaluable registry from the initial InterSystemsCache®/KRAZTUR system to a modern data warehouse was initiated. However, the transfer of existing data into a new environment proved to be technically challenging.</p><p><strong>Objective: </strong>To migrate the existing data into a modern data warehouse (DATA 5.0) while maintaining data extraction functions. Additional requirements included FHIR connectivity, big data analyses and AI applications.</p><p><strong>Methods: </strong>Together with SAP SE, DATA 5.0 was developed. Based on SAP HANA® (High Performance Analytic Appliance) it allows data registration and analysis with third party analytical tools. The project was supported by members of the SAP SE executive board and funded by the Dietmar Hopp Foundation.</p><p><strong>Results: </strong>Data Acquisition, Translation & Analysis 5.0 (DATA 5.0), a web-based tool for data registration, preservation and analysis of treatment and follow-up data, was developed to proof-of-concept stage. DATA 5.0 was then implemented into clinical practice replacing the previous system. As of today, 15,345 oncological patients and 6.7 Mio. data points are registered.</p><p><strong>Conclusion: </strong>Prospective long-term data was successfully migrated into DATA 5.0, allowing data preservation, flexibility and capabilities for future data sources. DATA 5.0, together with associated tumor tissue, is a lighthouse platform for oncological research, with capability for third party analytical tools, big data analysis and AI applications including training of digital twin models.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1530321"},"PeriodicalIF":3.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983565/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059237","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":"Interactive Panel Summaries of the 2024 Voice AI Symposium.","authors":"Jean-Christophe Bélisle-Pipon, James Anibal, Ruth Bahr, Steven Bedrick, Oita Coleman, David Dorr, Barbara J Evans, Guy Fagherazzi, Alexander Gelbard, Satrajit Ghosh, Anita Ho, Christie Jackson, Dale Joachim, Lampros Kourtis, Andrea Krussel, Amir Lahav, Breanna Leuze, Bob MacDonald, Geralyn Miller, Vivek Mohan, Matthew Naunheim, Maria Powell, Anaïs Rameau, Sat Ramphal, Vardit Ravitsky, Charlie Reavis, Samantha Salvi Cruz, Jamie Toghranegar, Adam Vogel, Stephanie Watts, Joseph Yracheta, Robin Zhao, Yael Bensoussan","doi":"10.3389/fdgth.2025.1484521","DOIUrl":"https://doi.org/10.3389/fdgth.2025.1484521","url":null,"abstract":"<p><p>The 2024 Voice AI Symposium presented by the Bridge2AI-Voice Consortium, was a 2-day event which took place May 1st-May 2nd in Tampa, FL. The event included four interactive panel sessions, which are summarized here. All four interactive panels featured an innovative format, designed to maximize engagement and facilitate deep discussions. Each panel began with a 45 min segment where moderators posed targeted questions to expert panelists, delving into complex topics within the field of voice AI. This was followed by a 45 min \"stakeholder forum,\" during which audience members asked questions and engaged in live interactive polls. Interactive polls stimulated meaningful conversation between panelists and attendees, and brought to light diverse viewpoints. Workshops were audio recorded and transcripts were assembled with assistance from generative A.I tools including Whisper Version 7.13.1 for audio transcription and ChatGPT version 4.0 for content summation. Content was then reviewed and edited by authors.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1484521"},"PeriodicalIF":3.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983451/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047849","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":"Returning individual wearable sensor results to participants: perspectives on challenges and lessons learned.","authors":"Krista S Leonard-Corzo, Shelby L Bachman, Jennifer M Blankenship, Ieuan Clay, Kate Lyden","doi":"10.3389/fdgth.2025.1569452","DOIUrl":"10.3389/fdgth.2025.1569452","url":null,"abstract":"<p><p>With increased adoption of digital health technologies in clinical trials, sponsors and investigators are often faced with the challenge of promoting participant compliance and engagement. One strategy that may provide value to participants and, as such, help improve compliance with digital health technologies is to return individual study results to participants. Clinical research participants have consistently expressed their desire to receive individual study results following participation in a trial, and trial sponsors and investigators are eager to comply. However, multiple challenges and barriers to its implementation mean that return of results is rarely carried out, despite alignment around its value. This perspective discusses the potential benefits of returning individual study results, including improved participant engagement and compliance, increased patient trust, and increased sense of health ownership. We also discuss the practical challenges of and barriers to returning individual study results from digital health technologies back to participants related to what, how, and when to return results. We assert that clinical trial sponsors and investigators should consider returning individual study results to participants and propose potential solutions to address specific challenges.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1569452"},"PeriodicalIF":3.2,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11975874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812912","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":"The role of trustworthy and reliable AI for multiple sclerosis.","authors":"Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver","doi":"10.3389/fdgth.2025.1507159","DOIUrl":"10.3389/fdgth.2025.1507159","url":null,"abstract":"<p><p>This paper investigates the importance of Trustworthy Machine Learning (ML) in the context of Multiple Sclerosis (MS) research and care. Due to the complex and individual nature of MS, the need for reliable and trustworthy ML models is essential. In this paper, key aspects of trustworthy ML, such as out-of-distribution generalization, explainability, uncertainty quantification and calibration are explored, highlighting their significance for healthcare applications. Challenges in integrating these ML tools into clinical workflows are addressed, discussing the difficulties in interpreting AI outputs, data diversity, and the need for comprehensive, quality data. It calls for collaborative efforts among researchers, clinicians, and policymakers to develop ML solutions that are technically sound, clinically relevant, and patient-centric.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1507159"},"PeriodicalIF":3.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804976","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":"The role of social media messages and content creators in shaping COVID-19 vaccination intentions.","authors":"Xiaofeng Jia, Soyeon Ahn, Susan E Morgan","doi":"10.3389/fdgth.2025.1448884","DOIUrl":"10.3389/fdgth.2025.1448884","url":null,"abstract":"<p><strong>Introduction: </strong>Social media plays a crucial role in shaping health behaviors by influencing users' perceptions and engagement with health-related content. Understanding these dynamics is important as new social media technologies and changing health behaviors shape how people engage with health messages.</p><p><strong>Aim: </strong>The current study explored the relationship between the characteristics of content creators, the messaging strategies employed in social media, and users' engagement with social media content, and whether these features are linked to users' behavioral intentions.</p><p><strong>Methods: </strong>This study adopts a cross-sectional survey design. A total of 1,141 participants were recruited. We have developed a structural equation model to investigate the relationships between the characteristics of content creators, the messaging strategies employed in social media, users' perceived HBM constructs, user engagement, and users' behavioral intentions.</p><p><strong>Results: </strong>Results revealed that social media posts focusing on self-efficacy were linked to increased willingness to engage in healthy behaviors. Additionally, individuals who demonstrate stronger perceptions of HBM constructs-such as higher perceived susceptibility and benefits of vaccination-are more likely to engage with posts, which was associated with higher vaccination intention. Posts authored by celebrities garnered a relatively higher number of favorites, while a greater proportion of politicians as content creators was linked to increased user comment intention.</p><p><strong>Conclusion: </strong>Our study underscores the potential of integrating the Health Belief Model into social media to help promote health behaviors like the COVID-19 vaccination. Furthermore, our findings offer valuable insights for professionals and policymakers, guiding them in crafting effective message strategies and selecting appropriate sources to promote health behaviors on social media platforms.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1448884"},"PeriodicalIF":3.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804862","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":"Advancements and challenges in methodological approaches for game-based health interventions: a scoping review.","authors":"Shaina Glass, Alexia Galati","doi":"10.3389/fdgth.2025.1561422","DOIUrl":"10.3389/fdgth.2025.1561422","url":null,"abstract":"<p><strong>Introduction: </strong>Applying game design techniques to create engaging health interventions has become more common, though still met with challenges and criticisms. This scoping literature review evaluates the extent to which recent health-based game intervention studies have improved from past criticisms around the process of game development, theoretical grounding, and implementation in terms of research design.</p><p><strong>Methods: </strong>Following a search of relevant databases and an AI tool (Elicit.org), 26 published articles met our selection criteria of reporting a game-based health intervention task developed by the article's authors. In each article, the reported theoretical grounding, use of game mechanics, and methodologies for developing and implementing game-based interventions were assessed. Our procedure involved coding for psychological or game design theories, game mechanics, and the research methods and design approaches used for intervention development. We reasoned that articles grounded in theory would be more likely to report effective methodologies and support for their design choices.</p><p><strong>Results: </strong>Our findings revealed that authors frequently used quantitative methods to determine intervention impact, explicitly referenced psychological (vs. game design) theory more frequently, and used more than one game mechanic in the interventions. In line with recommendations, the majority of studies used large sample sizes and applied their interventions in real-world settings.</p><p><strong>Discussion: </strong>Despite these improvements, we identified areas of growth: utilizing interdisciplinary teams, user-centered and iterative approaches, and standardizing the reporting of intervention design components. This review is intended to inform the future of applied game design in health contexts.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1561422"},"PeriodicalIF":3.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973360/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804857","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":"A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support.","authors":"Chenxu Hao, Susanne Uusitalo, Caroline Figueroa, Quirine T S Smit, Michael Strange, Wen-Tseng Chang, M I Ribeiro, Vanita Kouomogne Nana, Myrthe L Tielman, Maaike H T de Boer","doi":"10.3389/fdgth.2025.1544185","DOIUrl":"10.3389/fdgth.2025.1544185","url":null,"abstract":"<p><p>As intelligent systems become more integrated into people's daily life, systems designed to facilitate lifestyle and behavior change for health and well-being have also become more common. Previous work has identified challenges in the development and deployment of such AI-based support for diabetes lifestyle management and shown that it is necessary to shift the design process of AI-based support systems towards a human-centered approach that can be addressed by hybrid intelligence (HI). However, this shift also means adopting a user-centric design process, which brings its own challenges in terms of stakeholder involvement, evaluation processes and ethical concerns. In this perspective paper, we aim to more comprehensively identify challenges and future research directions in the development of HI systems for behavior change from four different viewpoints: (1) challenges on an individual level, such as understanding the individual end-user's context (2) challenges on an evaluation level, such as evaluation pipelines and identifying success criteria and (3) challenges in addressing ethical implications. We show that developing HI systems for behavior change is an interdisciplinary process that requires further collaboration and consideration from various fields.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1544185"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965347/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782116","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":"Artificial intelligence application in counselling practices. A multigroup analysis of acceptance and awareness using gender and professional rank.","authors":"Usani Joseph Ofem, Pauline Mbua Anake, Cyril Bisong Abuo, James Omaji Ukatu, Eugene Onor Etta","doi":"10.3389/fdgth.2024.1414178","DOIUrl":"10.3389/fdgth.2024.1414178","url":null,"abstract":"<p><strong>Introduction: </strong>Artificial intelligence (AI) has emerged as a transformative tool in various professional domains, including counselling, where it offers innovative ways to enhance service delivery and client outcomes. Despite its potential, research on AI in counselling practices often focuses on its technical applications, with limited attention to the interplay between awareness, acceptance, and application. This study analyses how professional counsellors apply artificial intelligence in counselling practices using the nexus between awareness and application through acceptance of AI with gender and professional rank as group.</p><p><strong>Method: </strong>A total of 5,432 professional counsellors were selected for the study. Data collection was conducted online to ensure a wide reach. The research instruments underwent validity checks, demonstrating high content and factorial validity. Convergent and discriminant validity were confirmed using the Average Variance Extracted (AVE) and Fornel-Larcker criterion.</p><p><strong>Results: </strong>The findings revealed that professional counsellors exhibited high levels of awareness, acceptability, and application of AI in their counselling practices. Acceptance played a positive mediating role in the relationship between awareness and application. However, male practitioners and professors displayed stronger awareness, acceptance, and application of AI tools compared to their counterparts.</p><p><strong>Conclusion: </strong>The study highlights the significant role of acceptance in bridging awareness and application of AI in counselling practices. It underscores the importance of addressing gender and professional rank disparities to ensure equitable adoption and utilization of AI tools. The findings offer valuable insights for policymakers in promoting the integration of AI in counselling to enhance professional practices.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"6 ","pages":"1414178"},"PeriodicalIF":3.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143775094","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}