International Journal of Telemedicine and Applications最新文献

{"title":"Teledialysis in Community Settings: Evaluation of Feasibility, Safety and Effectiveness.","authors":"Thin Han, Colin Brown, Yishen Wang, Moses Ezeakile, Erin McGovern, Rachel Scott, Zaw Thet, Mahmudul Hassan Al Imam, Gulam Khandaker, Craig F Munns","doi":"10.1155/ijta/1926027","DOIUrl":"10.1155/ijta/1926027","url":null,"abstract":"<p><p>The number of patients with end-stage kidney disease requiring haemodialysis (HD) is increasing worldwide, placing substantial pressure on healthcare systems. In Central Queensland, Australia, many patients, including Indigenous Australians, live far from major centres providing HD services. Teledialysis (Tele-D), involving virtual nephrologist-led ward rounds, can improve access to specialist care while supporting community-based dialysis. This study evaluated the feasibility, safety and effectiveness of Tele-D for satellite HD units in Central Queensland. This retrospective cohort study compared patients receiving in-centre HD at Rockhampton Hospital (hospital group) with those receiving community HD (Tele-D group), where dialysis nurses delivered routine care under a nephrologist-led telehealth model comprising weekly virtual reviews via the Queensland Telehealth Portal and additional telephone or email support as required over a 2-year period. Both groups received routine monthly pathology review and face-to-face outpatient review every 3 months. Clinical and biochemical outcomes, including haemoglobin, urea reduction ratio, albumin, calcium, phosphate and parathyroid hormone, showed no significant differences in longitudinal trajectories between groups. Haemoglobin levels in the Tele-D group converged towards the recommended target range. Emergency department presentations, hospital length of stay and all-cause mortality were lower in the Tele-D group. However, after adjustment for age, sex, diabetes and modified Charlson comorbidity index (mCCI), the hazard ratio for mortality had a confidence interval crossing 1.0, indicating noninferiority rather than superiority. In this regional retrospective cohort, Tele-D was feasible, with clinical, biochemical and survival outcomes comparable with conventional hospital-based HD. Because patients in the Tele-D group were younger, had fewer comorbidities and exclusively used arteriovenous fistulas for vascular access, causal inference cannot be made. These findings support the Tele-D model of care and warrant further evaluation in larger prospective studies.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"1926027"},"PeriodicalIF":2.2,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13586554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149009233","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":"RETRACTION: Is Telephysiotherapy an Option for Improved Quality of Life in Patients With Osteoarthritis of the Knee?","authors":"International Journal Of Telemedicine And Applications","doi":"10.1155/ijta/9879362","DOIUrl":"10.1155/ijta/9879362","url":null,"abstract":"<p><p>[This retracts the article DOI: 10.1155/2014/903816.].</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"9879362"},"PeriodicalIF":2.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13504518/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148819939","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":"Factors Affecting Telehealth Consultation in Diabetic Patients: A Systematic Scoping Review.","authors":"Mahsa Fadaie Fini, Tahereh Shafaghat, Mahdi Radabadi, Enayatollah Homaie Rad, Sajjad Bahariniya, Seyyed Reza Darijani, Mohammad Ranjbar","doi":"10.1155/ijta/4696370","DOIUrl":"10.1155/ijta/4696370","url":null,"abstract":"<p><strong>Objectives: </strong>The global rise in diabetes highlights the need for innovative healthcare solutions. This scoping review is aimed at identifying and categorizing patient-reported facilitators and barriers influencing the use of telehealth consultations among people living with diabetes.</p><p><strong>Methods: </strong>A systematic scoping review was conducted following the Joanna Briggs Institute (JBI) methodology and PRISMA-ScR guidelines.</p><p><strong>Data sources: </strong>Four databases-PubMed, Scopus, ISI Web of Science, and Google Scholar-were searched from inception to July 31, 2025.</p><p><strong>Eligibility criteria: </strong>Included studies were original research or review articles published in English or Persian that examined patient-reported facilitators and barriers influencing the use of telehealth among people living with diabetes.</p><p><strong>Data extraction and synthesis: </strong>Two reviewers independently screened titles, abstracts, and full texts. Data were extracted using a predesigned form and synthesized thematically into facilitators and barriers.</p><p><strong>Results: </strong>Of 1673 identified records, 72 met inclusion criteria. Facilitators were grouped into four themes: process (e.g., time and cost savings), structural (e.g., system usability), communication (e.g., improved access), and attitudinal factors (e.g., awareness). Barriers included infrastructure limitations, digital literacy, privacy concerns, and resistance to change.</p><p><strong>Conclusions: </strong>Telehealth offers significant potential for diabetes management, but systemic and individual-level barriers must be addressed. Policymakers and healthcare providers should address patient-reported barriers while strengthening key facilitators to improve the adoption and sustainability of telehealth services in diabetes care.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"4696370"},"PeriodicalIF":2.2,"publicationDate":"2026-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13478728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799256","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":"Integrating the Metaverse Into Medical Practice: A Systematic Review of Its Potential and Applications.","authors":"Marsa Gholamzadeh, Shahryar Naji, Elmira Khakvatan, Mohammad Heydari, Saman Mortezaei","doi":"10.1155/ijta/8397610","DOIUrl":"10.1155/ijta/8397610","url":null,"abstract":"<p><strong>Introduction: </strong>The metaverse, characterized by the convergence of virtual and physical realities, represents an emerging concept which offers immersive and interactive experiences with the potential to revolutionize medical care. This study aims to explore the current applications of this technology across various medical specialties.</p><p><strong>Method: </strong>A systematic search was conducted across five electronic databases including Web of Science, PubMed, Scopus, CINAHL, and IEEE, using a structured query in accordance with PRISMA guidelines. A qualitative analysis was conducted to synthesize findings across different categories such as medical domains, types of metaverse, implementation approaches, target groups, and clinical disciplines.</p><p><strong>Results: </strong>This review included 46 studies published between 2022 and 2024, with South Korea contributing the majority of publications (<i>n</i> = 12, 24%). Applications spanned diverse medical domains, notably medical education (<i>n</i> = 7, 15.22%), mental health (<i>n</i> = 6, 13.04%), and rehabilitation (<i>n</i> = 6, 13.04%). Among the included papers that focused on a single type of metaverse, virtual worlds appeared as the most prominent type (<i>n</i> = 23, 50.00%), followed by augmented reality (<i>n</i> = 8, 17.39%) and mirror worlds (<i>n</i> = 4, 8.70%). The majority of papers concentrated on designing and developing metaverse systems, primarily targeting patients (<i>n</i> = 24, 47.06%), medical students (<i>n</i> = 12, 23.53%), and healthcare providers (<i>n</i> = 8, 15.69%). These systems addressed multiple clinical phases, including treatment/intervention (<i>n</i> = 17, 36.95%), education (<i>n</i> = 10, 21.74%), and patient follow-up (<i>n</i> = 5, 10.87%).</p><p><strong>Conclusion: </strong>In conclusion, this review suggests that metaverse applications in healthcare are still in the early stages of development, focusing primarily on system design and feasibility rather than proven clinical outcomes. Although emerging technologies such as artificial intelligence and blockchain are emerging, evidence of clinical effectiveness remains limited. This review provides a descriptive roadmap of current trends and implementation frameworks to support prudent, evidence-based progress in understudied clinical areas.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"8397610"},"PeriodicalIF":2.2,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13448152/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148689931","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":"Patient-Centered Teledermatology: Bridging Pharmacies and Dermatologists.","authors":"Nuria Perez-Cullell, Valérie Buresi, Nicolas Homehr, Jean-Ludovic Brutin, Julie Fraysse","doi":"10.1155/ijta/9409013","DOIUrl":"10.1155/ijta/9409013","url":null,"abstract":"<p><strong>Background: </strong>The chronic shortage of dermatologists in France results in average waiting times of 3 months, compromising equitable access to care and early diagnosis of severe conditions such as skin cancers. This pilot project evaluates the feasibility, effectiveness, and acceptability of a tele-expertise platform connecting community pharmacists and dermatologists.</p><p><strong>Methods: </strong>From March 2024 to March 2025, 40 pharmacies (18 urban and 22 rural) submitted 731 dermatological cases via a secure platform, following pharmacist training in clinical photography and best practices. Twelve volunteer dermatologists responded within a target of 24-48 h. Data focused on utilization, response times, pathologies, satisfaction (pharmacist surveys and pharmacist-reported patient feedback), and qualitative feedback from an expert board.</p><p><strong>Results: </strong>Seven hundred fourteen tele-expertises were completed, with a mean response time of 5.4 days, reflecting early implementation constraints and progressively improving over time (reduced to 1-2 days by study end; 83% < 48 h in February 2025). The main conditions include suspected melanoma (7), carcinomas (27), actinic keratosis, eczema, atopic dermatitis, rosacea, vitiligo, and shingles. Pharmacist satisfaction reached 72% (NPS 24%; 94% recommending a scale-up with adaptations). Pharmacists reported that 88% of patients were satisfied. Limitations comprised the lack of e-prescriptions and the nonintegration of primary care physicians.</p><p><strong>Conclusion: </strong>This pharmacy-centered model improves rapid access to dermatological expertise, reduces diagnostic delays, and satisfies users, but requires integration into coordinated care pathways (with primary care physicians), pharmacist remuneration, and legal/financial reforms for sustainability. A second pilot is testing these recommendations.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"9409013"},"PeriodicalIF":2.2,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13417487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148621887","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":"Hybrid Convolutional-Gated Recurrent Neural Network for Robust Mobile Health Activities Classification.","authors":"Raed Alotaibi, Omar Reyad, Mohamed Esmail Karar","doi":"10.1155/ijta/1465162","DOIUrl":"10.1155/ijta/1465162","url":null,"abstract":"<p><p>Mobile health has become a popular option for patients to monitor and analyze their body activities and vital signs using their mobile devices, such as smartphones and smartwatches. In addition, the healthcare community has begun using artificial intelligence (AI) models to automate the diagnosis of abnormal conditions and diseases, particularly in real-time emergency scenarios. This article introduces a new deep learning model to automatically identify daily body activities. We propose a hybrid AI model that combines a convolutional neural network (CNN) and a gated recurrent unit (GRU) for robust human activity classification. Key contributions include (1) the design of an end-to-end CNN-GRU model that jointly extracts local spatiotemporal features and models long-term temporal dependencies from raw sensor data, and (2) a comprehensive benchmarking framework validating the developed model against previous machine learning and deep learning classifiers. A public mobile health dataset (MHEALTH) has been used in this study. This dataset includes 12 physical activities, for example, knee bending, walking, and running. Key findings demonstrate that the CNN-GRU model achieves a state-of-the-art classification accuracy of 99.50% on the publicly available MHEALTH dataset, which encompasses 12 distinct physical activities. It significantly outperforms CNN-LSTM (98.83%), 1-D CNN (96.89%), and traditional ensemble methods while maintaining high precision, recall, and F1-scores across all activity classes. Therefore, our developed model can be implemented in a cloud computing system to monitor senior patients as a critical healthcare application.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"1465162"},"PeriodicalIF":2.2,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13403473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148608424","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":"Quality Appraisal of Telerehabilitation Guidelines: A Systematic Review.","authors":"Faridokht Salahshoori, Majid Jangi, Ebrahim Sadeghi-Demneh, Farhad Fatehi, Alireza Rahimi","doi":"10.1155/ijta/2404971","DOIUrl":"10.1155/ijta/2404971","url":null,"abstract":"<p><strong>Background: </strong>Telerehabilitation is an expanding domain of telehealth offering remote rehabilitation services. The quality of clinical guidelines, despite significant growth, is highly inconsistent, which may affect the quality of care and policy execution. We endeavored to systematically assess the quality of general telerehabilitation guidelines using the AGREE II instrument.</p><p><strong>Methods: </strong>A systematic search of six databases and grey literature identified 2575 records. After screening and eligibility assessment, seven guidelines were appraised independently by two reviewers using the AGREE II tool, covering six quality domains.</p><p><strong>Results: </strong>Only the American Physical Therapy Association's 2024 guideline was rated high quality across all domains. Three guidelines were rated medium quality and recommended with modifications. The remaining three were deemed low quality due to weak methodological rigor and limited stakeholder involvement.</p><p><strong>Conclusion: </strong>The quality of telerehabilitation guidelines differs significantly, and high-quality, evidence-based, and inclusive guidelines are essential for promoting secure, efficient, and telerehabilitation practices globally.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"2404971"},"PeriodicalIF":2.2,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13292017/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148333449","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":"Application of Digital Twin Technology to Enhance Chronic Diseases Management: A Systematic Review.","authors":"Amirhossein Zarei, Marsa Gholamzadeh, Fatemeh Asadi","doi":"10.1155/ijta/2299762","DOIUrl":"10.1155/ijta/2299762","url":null,"abstract":"<p><strong>Background: </strong>Given that chronic diseases account for a considerable proportion of preventable deaths globally, the adoption of innovative technologies for disease management and prevention is crucial. Digital twins (DTs), representing one of the most advanced technological solutions, enable real-time simulation and monitoring of chronic disease progression, facilitating personalized treatment strategies and early intervention. This systematic review examines current research on DT applications in chronic disease management to evaluate their potential impact.</p><p><strong>Methods: </strong>A systematic search was conducted in four databases including PubMed, Scopus, Web of Science, and IEEE from inception to the date of the last search. The research question was formulated using PICO framework. Next, all articles were screened following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to select eligible articles based on inclusion criteria. The extracted information was analyzed to determine the main applications, domains, and employed technologies using quantitative and qualitative techniques.</p><p><strong>Results: </strong>Out of 298 citations, 20 studies met our inclusion criteria after duplicate removal and screening. Most studies (45%, <i>n</i> = 10) were published between 2023 and 2024, indicating an increasing trend in this area. Geographically, the United States contributed the most studies (25%, <i>n</i> = 5), followed by Switzerland (15%, <i>n</i> = 3). Our analysis revealed that primary applications of DT in chronic disease management included medical training and education (65%, <i>n</i> = 13), personalized medicine and patient care (45%, <i>n</i> = 9), and drug discovery and clinical trials (35%, <i>n</i> = 7). Target groups comprised clinicians (42.11%), patients (31.58%), and medical students (15.79%). Key enabling technologies in this subject were data analytics (65%), artificial intelligence and machine learning (60%), computational physiological modeling (30%), and IoT sensors (25%).</p><p><strong>Conclusions: </strong>Our findings demonstrate that DT technology has evolved from theoretical models to integrated clinical applications, with the potential to revolutionize healthcare through personalized medicine, continuous monitoring, and AI-driven decision support.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"2299762"},"PeriodicalIF":2.2,"publicationDate":"2026-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13253609/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148253710","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":"Delivering Health Coaching in a Student-Led Telehealth Clinic: Evaluating the Impact on Health-Related Quality of Life.","authors":"Kristie Matthews, Terry Haines","doi":"10.1155/ijta/2228574","DOIUrl":"10.1155/ijta/2228574","url":null,"abstract":"<p><p>Health professional student-led clinics are commonly integrated into programmes of study to provide unique learning opportunities for students and provide improved access to care for underserved populations. Participant health outcomes from student-led clinics are infrequently reported and are hard to compare with outcomes from other intervention approaches. This study aims to examine change in participant health-relate-d quality of life following engagement in a telehealth mediated health coaching focussed student-led clinic in Australia. Pre-post data using the EQ-5D-5L instrument were collected from 369 participants in the student-led telehealth clinic between August 2020 and August 2024. Participant data were converted to a utility score relevant to an Australian population. The mean change in health utility score after participating in the clinic was 0.06 (95% CI 0.03-0.08, <i>p</i> < 0.001). Regression analyses showed that a significant positive change in mean utility score was observable in younger (18-35) participants (0.13, 95% CI 0.05-0.21, <i>p</i> = 0.001), females (0.06, 95% CI 0.02-0.09, <i>p</i> = 0.001) and participants with a lower baseline (< 0.6) utility score (0.14, 95% CI 0.07-0.20, <i>p</i> < 0.001). Significant change was observed across physical health, psychological and environmental concerns. As health coaching is known to be an important feature of preventative health strategies, this research is a promising indicator of how a student-led telehealth clinic may be an effective contributor to the health care ecosystem.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"2228574"},"PeriodicalIF":2.2,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13247985/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148220083","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":"AI-Based Intraoral Videography for Automated Dental Inspection and Charting in Children With Mixed Dentition.","authors":"Manar Abu Talib, Mohammad-Adel Moufti, Raghad Alrachid, Omnia Abu Waraga, Lolwah Aldhafairi, Sara Alfahad, Abdula Alhaddabi","doi":"10.1155/ijta/5248891","DOIUrl":"10.1155/ijta/5248891","url":null,"abstract":"<p><p>Examination and documentation (charting) of teeth are indispensable yet labor-intensive processes, especially in pediatric patients, where mixed dentition, anatomical variability, and limited cooperation during imaging present unique challenges. Despite their distinguished potential, existing AI models lack applicability to pediatric dentistry because they are mostly designed for adult dentition and use radiographic images. To fill this gap, we developed an AI-powered model for automated pediatric dental charting using real-time intraoral videos, utilizing a YOLO-based object detection framework. The model was trained to classify 44 tooth types, including primary and permanent dentitions. The dataset is composed of 112,538 frames extracted from 89 intraoral footages of children aged 6-12 years at diverse dental development stages. Of this dataset, 80% was allocated for training and 20% for testing. The model achieved a mAP@0.5 of 0.405, with a precision of 0.495 and a recall of 0.405 across all tooth classes. Notably, the model performed substantially better in detecting primary teeth, achieving a mAP@0.5 of 0.616, compared to 0.255 for permanent teeth, due to the latter's ongoing eruption and inconsistent appearance. Despite these limitations, this study is a major advancement toward automating pediatric dental charting and will pave the way for future developments in AI applications for pediatric dentistry, facilitating early caries detection for children in schools and in large-scale public health screening programs.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"5248891"},"PeriodicalIF":2.2,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13216711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148139219","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}