International Journal of Telemedicine and Applications最新文献

{"title":"CERV-Score: A Hybrid Machine Learning Framework for Cervical Cancer Risk Prediction Using Integrated Clinical and Genomic Data.","authors":"Asma Mujahed Alanazi, Samia Dardouri","doi":"10.1155/ijta/9913421","DOIUrl":"https://doi.org/10.1155/ijta/9913421","url":null,"abstract":"<p><p>Cervical cancer remains a major global health burden, particularly in underserved populations where late diagnoses contribute to high mortality rates. Accurate, early risk prediction is essential for improving outcomes and guiding preventive care. In this study, we introduce CERV-Score, a hybrid machine learning framework that advances prior approaches by combining structured clinical risk factors with recurrence-based genomic markers to generate continuous, probabilistic risk scores rather than traditional binary classifications. This enables nuanced patient stratification into low, moderate, and high-risk categories, providing clinicians with more actionable insights. Unlike previous models, CERV-Score integrates genomic recurrence analysis identifying genes consistently expressed across multiple RNA-seq samples to improve biological relevance and robustness. Additionally, we developed an interactive clinical-genomic decision support tool that delivers real-time, percentage-based risk predictions and includes a gene lookup function, bridging clinical practice and molecular exploration in a single platform. The hybrid CERV-Score model achieved high predictive performance (accuracy = 94.1<i>%</i>, F1 - score = 0.91, AUC = 0.94). Bootstrap resampling (1000 iterations) applied to the test predictions produced a 95% confidence interval for accuracy of 92.8%-95.4%, confirming the stability and robustness of the model's performance. These results highlight the contribution of probabilistic scoring, recurrence-driven genomic integration, and interactive visualization to enhance both accuracy and usability. By combining methodological innovation with practical clinical utility, CERV-Score represents a meaningful step beyond existing hybrid models, laying the groundwork for more interpretable, personalized, and deployable cervical cancer risk prediction systems.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"9913421"},"PeriodicalIF":2.2,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13145354/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844137","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":"Reflecting on Themes From Telehealth Consultations Early in the Pandemic: An Opportunity to Learn From Multiprofessional Colleagues.","authors":"Maggie Meeks, Laura R Joyce, John Dean, Lorna Davies, Tika Ormond, Philippa Seaton, Dale Sheehan, Dean Sutherland, Melanie Welfare, Arindam Basu","doi":"10.1155/ijta/7172059","DOIUrl":"https://doi.org/10.1155/ijta/7172059","url":null,"abstract":"<p><strong>Aims: </strong>This study is aimed at documenting the reflections of New Zealand healthcare professionals on the use of synchronous telehealth consultations.</p><p><strong>Methods: </strong>A qualitative narrative inquiry was conducted to explore the practice of telehealth in New Zealand. Purposive sampling was used to identify clinicians from multiple professions who used telehealth during the initial phase of the COVID-19 pandemic. Fifteen semistructured interviews were conducted between October 2020 and May 2021 with clinicians from primary and secondary care, including multiple professional backgrounds. Interview transcripts were analysed thematically.</p><p><strong>Results: </strong>Six themes were identified: (1) equitable access: There were concerns regarding equitable access to telehealth; (2) relationships and connections: This included connection with the wh<i>ā</i>nau/family and their culture, between professions and as part of the wider health system; (3) information gathering and sharing: This included the visibility of the process as well as visibility of information regarding the client/patient; (4) adapting to change: There was significant variation between clinicians in transitioning to using telehealth; (5) professional boundaries: This included the prescribed boundaries such as the physical location of patients/clients, as well as unanticipated changes to personal, professional and organisational boundaries; (6) IT logistics: This included the potential technological drivers (enablers and disablers) within the process of incorporating telehealth.</p><p><strong>Conclusions: </strong>Telehealth was critical in healthcare provision during the COVID-19 pandemic and has continued to be used within healthcare delivery postpandemic. The themes identified provided insight into the importance of considering the provision of telehealth as a complex package and identifying contextual challenges as well as the enablers and potential benefits of using this modality.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"7172059"},"PeriodicalIF":2.2,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13128514/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822004","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 Real-Time, Location-Aware Remote Patient Monitoring System for Telemedicine Decision Support.","authors":"Adriana-Lavinia Cioca, Marius Cioca, Bogdan Neamtu","doi":"10.1155/ijta/6673101","DOIUrl":"https://doi.org/10.1155/ijta/6673101","url":null,"abstract":"<p><p>Telemedicine has become an integral component of modern healthcare, particularly in contexts where direct patient-physician interaction is limited or unavailable. In such situations, access to objective physiological data, real-time patient localization, and automated alerting can significantly improve situational awareness and support timely clinical decision-making. This paper presents a real-time, location-aware patient monitoring system developed as a low-cost, fully functional demonstration platform to support telemedicine services and risk-based alerting. The proposed system combines wearable-based physiological data acquisition with a mobile application that collects heart rate measurements and geographic coordinates, which are transmitted to a server-side platform for real-time processing, visualization, and alert generation. Patient status is displayed through an interactive map with risk-level indicators and complemented by time-series charts that facilitate the interpretation of physiological trends over time. Incoming data are continuously evaluated using a rule-based risk assessment mechanism, enabling automated email alerts when predefined critical conditions are detected. Alert notifications include relevant physiological values together with direct links to the patient's geographic location, supporting rapid response in emergency or high-risk scenarios. The system is evaluated from a functional and architectural perspective, demonstrating its ability to support remote monitoring, contextual awareness, and decision support in telemedicine settings, including telephone-based consultations. While the platform does not aim to provide clinical validation or long-term medical assessment, it illustrates the practical benefits of integrating wearable data, real-time localization, and automated alerting within a unified telemedicine-oriented framework. In addition, the proposed architecture is designed to support future extensions based on data-driven methods, including machine learning-based risk prediction and preventive health analytics. However, such approaches are not part of the current implementation and are outlined as directions for future research. The main contribution of this work lies in the design and implementation of a low-cost, location-aware telemedicine monitoring system that combines real-time data acquisition, integrated visualization, and actionable alerting within a unified and deployable architecture.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"6673101"},"PeriodicalIF":2.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13089634/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724113","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":"Implementation of Integrated Telemedicine Services in Resource-Limited Somalia: A Case Study of Baano Healthcare Technology.","authors":"Najib Isse Dirie, Mohamed Mustaf Ahmed, Ahmed Adam Mohamed","doi":"10.1155/ijta/3667956","DOIUrl":"https://doi.org/10.1155/ijta/3667956","url":null,"abstract":"<p><strong>Background: </strong>Somalia's healthcare system faces significant challenges due to limited infrastructure and physician density (2.5 per 10,000 population). Telemedicine is a promising solution, particularly given the country's mobile phone penetration rate of 54%. This study evaluated the implementation and impact of Baano Healthcare Technology's integrated telemedicine platform in Somalia, while also situating its utilization within the broader disparities in healthcare access, internet coverage, and socioeconomic context.</p><p><strong>Methods: </strong>A descriptive quantitative analysis of operational data from Baano Healthcare Technology telemedicine services was conducted between July and October 2024. These services were delivered through an integrated digital platform that linked video consultations, hospital bookings, and interactive voice response self-management services within a single telemedicine system. Data were collected through three primary channels: digital consultation, hospital bookings, and IVR self-management services. Statistical analysis was performed using R programming software Version 4.4.0, and descriptive statistics and frequency distributions of service utilization patterns were calculated. Demographic data for digital users included age, sex, and residence, whereas IVR records lacked user-level metadata, which limited stratification.</p><p><strong>Results: </strong>This study analyzed 610 users of video consultation and hospital booking services, along with 157,660 interactive voice response system interactions. The analysis revealed that 63.44% of users were aged 1-30 years, with a balanced sex distribution (50.82% male and 49.18% female). Hospital bookings constituted 73.61% of the services, whereas online consultations accounted for 26.39%. The Banadir region accounted for 80.49% of all users in the study. Dental services were the most requested specialty (42.98%), reflecting the scarcity of licensed dentists outside Mogadishu and the platform's role in facilitating access to rare specialties in the region. The IVR system was substantially used for chronic condition management (47%), with diabetes management being the most frequently accessed topic (23%).</p><p><strong>Conclusion: </strong>The implementation of integrated telemedicine services in Somalia demonstrates promising potential for expanding healthcare access, particularly in urban areas. However, its reach remains constrained by geographic and digital divides, with rural areas facing compounded barriers of poverty, provider scarcity, and low internet use. The platform's success in urban areas provides a model for expansion, although addressing infrastructure limitations and regulatory frameworks remains important.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"3667956"},"PeriodicalIF":2.2,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13081188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147699871","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":"Key Factors Associated With Nonuse of Telemedicine in Patients With Hypertension and/or Diabetes: Findings From the 2023 Indonesia Health Survey.","authors":"Sofa D Alfian, Meliana Griselda, Mochammad A A Pratama, Imam A Wicaksono, Raden M Febriyanti, Widya N Insani, Rizky Abdulah, Mahmathi Karuppannan","doi":"10.1155/ijta/5333547","DOIUrl":"https://doi.org/10.1155/ijta/5333547","url":null,"abstract":"<p><strong>Background: </strong>The Indonesian government has established a blueprint for health system digitalization aimed at improving health coverage. Despite the benefits of telemedicine services, its utilization remains low, and the factors associated with nonuse of telemedicine in Indonesia are not well understood.</p><p><strong>Objective: </strong>This study aimed to assess the prevalence of telemedicine use and to identify factors contributing to its nonuse among patients with hypertension and/or diabetes, particularly considering that these patients require long-term medication management and monitoring.</p><p><strong>Methods: </strong>This national cross-sectional study utilized data from the Indonesia Health Survey conducted in 2023, reflecting the postpandemic demographical conditions across 38 provinces in Indonesia. Telemedicine utilization and sociodemographic information were assessed based on a self-reported questionnaire. Logistic regression was performed to identify sociodemographic factors associated with nonuse of telemedicine. Odds ratios (ORs) with 95% confidence intervals (CIs) were reported.</p><p><strong>Results: </strong>This study involved 63,012 patients with diabetes and/or hypertension. Most of them were women (65.1%), married (78.3%), aged 55-64 years (30.9%). Nearly all the respondents (98.0%) had not used telemedicine. Factors associated with nonuse of telemedicine included being unmarried (OR = 1.40; 95<i>%</i>CI = 1.11-1.77), older than 34 years (OR = 3.83; 95<i>%</i>CI = 1.90-7.73), having an educational background below the university level, farmer/fisherman and helper/laborer/driver, and living outside the islands of Java and Bali. Respondents with hypertension alone (OR = 1.67, 95<i>%</i>CI = 1.32-2.11) were more likely to report nonuse of telemedicine compared with those with both diabetes and hypertension.</p><p><strong>Conclusions: </strong>The usage of telemedicine among patients with hypertension and/or diabetes in Indonesia is low. Personalized approaches that consider patient-specific factors and integrate telemedicine more frequently into the healthcare system are essential to enhance telemedicine adoption among patients with hypertension and/or diabetes in Indonesia.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"5333547"},"PeriodicalIF":2.2,"publicationDate":"2026-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12967918/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147436438","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":"Mobile Application for Perceived Stress and Self-Efficacy Management of Caregivers of Elderly Patients With Parkinson's Disease.","authors":"Hossein Sanaei, Najmeh Valizadeh Zare, Tahereh Sadeghi, Mohsen Soltani Sabi, Ali Shoaibi","doi":"10.1155/ijta/3978713","DOIUrl":"https://doi.org/10.1155/ijta/3978713","url":null,"abstract":"<p><strong>Introduction: </strong>Parkinson's disease (PD) places a substantial burden on caregivers, affecting their quality of life and potentially compromising patient care. Mobile health (mHealth) interventions may help reduce these challenges. This study was aimed at evaluating the effect of a mobile application on perceived stress and self-efficacy among caregivers of older adults with PD.</p><p><strong>Method: </strong>This randomized controlled clinical trial was conducted with 80 caregivers recruited from the Neurology Clinic of Qaim Hospital, Iran. Participants in the intervention group received access to a PD management mobile application along with face-to-face training, while the control group received only face-to-face training at the clinic. Both groups completed the Cohen Perceived Stress Inventory and the Caregiver Self-Efficacy Scale at baseline, immediately after the intervention, and 1 month later.</p><p><strong>Results: </strong>Immediately after the intervention, the intervention group demonstrated significantly lower perceived stress compared to the control group (<i>p</i> = 0.018). However, this difference was not sustained at the 1-month follow-up (<i>p</i> = 0.115). Within-group analyses showed no significant change in stress levels over time (<i>p</i> > 0.05). Self-efficacy scores improved in the intervention group, particularly in the domains of \"gathering information about treatment\" (<i>p</i> = 0.031) and \"completing household tasks\" (<i>p</i> = 0.041).</p><p><strong>Conclusion: </strong>The mobile application improved caregivers' self-efficacy and temporarily reduced perceived stress, suggesting its potential as a supportive tool for individuals caring for older adults with PD. Integrating mHealth solutions may enhance caregiver well-being and contribute to better caregiving outcomes.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"3978713"},"PeriodicalIF":2.2,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12958131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147366895","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":"Use of Mobile Application for Improving Drug Compliance and Clinical Outcomes: A Randomized Controlled Trial.","authors":"Pramod Kumar Mehta, Abhijith R Rao, Niti Upadhyay, Saad Mustafa, Vasu Digra, Arundhati Sekhar Wariar, Nidhi Soni, Prasun Chatterjee, Avinash Chakrawarty","doi":"10.1155/ijta/9857793","DOIUrl":"https://doi.org/10.1155/ijta/9857793","url":null,"abstract":"<p><strong>Background: </strong>Older adults are prone to multimorbidity and polypharmacy, which often lead to adverse outcomes such as increased hospital admissions and treatment nonadherence. Smartphone and internet use among older adults in India is rising, but its potential for addressing healthcare needs like multimorbidity management and drug adherence remains underexplored. The \"Know Your Meds (KYM)\" Creda Health mobile application (app) on the Google Play Store serves as a digital health assistant, offering features such as medication information, drug interaction insights, and pill reminders to improve health outcomes. This randomized controlled trial is aimed at assessing the effectiveness of the AI-based mobile app KYM in improving clinical outcomes, medication adherence, and patient satisfaction among older Indian adults.</p><p><strong>Methodology: </strong>In this randomized controlled trial, 360 participants with multimorbidity (aged > 60 years) were randomly allocated into intervention (<i>n</i> = 182) and control (<i>n</i> = 175) groups with the intervention group using the KYM app for 12 weeks, whereas the control group received standard conventional healthcare.</p><p><strong>Results: </strong>Although clinical outcomes like change in blood pressure, HbA1c, and lipid levels did not show a significant difference between the two groups, there was a significant difference in medication adherence at 12-week follow-up. However, no significant change was observed in patient satisfaction.</p><p><strong>Conclusion: </strong>The study highlights the potential of mobile health apps in promoting adherence, though further research is required to evaluate their impact on clinical outcomes with more tailored interventions.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"9857793"},"PeriodicalIF":2.2,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949084/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147327743","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":"Efficacy of Motion Sensor Telerehabilitation for Balance and Mobility in Parkinson's Disease: A Nonrandomized Controlled Pilot Study.","authors":"Issaree Prukviwat, Krisna Piravej, Viboon Sangveraphunsiri, Weerachai Jitpugdee, Pim Terachinda","doi":"10.1155/ijta/7191579","DOIUrl":"10.1155/ijta/7191579","url":null,"abstract":"<p><strong>Purpose: </strong>We developed an innovative telerehabilitation system using a 3D camera with motion sensors that provided real-time feedback. This study is aimed at evaluating its efficacy in improving balance, gait, and mobility, as well as its feasibility in patients with idiopathic Parkinson's disease (PD).</p><p><strong>Materials and methods: </strong>Participants with idiopathic PD self-selected into either a telerehabilitation (tele) group or a hospital-based rehabilitation (hospital) group. The tele group received two initial sessions of hospital-based rehabilitation sessions, followed by 14 telerehabilitation sessions using the innovative system. The hospital group received 16 sessions of hospital-based rehabilitation. Outcome measures included Berg Balance Scale (BBS) score, Chula Parkinson Mobility Scale (Chula PMS) score, gait speed, and step length. The feasibility of the telerehabilitation system was also assessed.</p><p><strong>Results: </strong>Forty-six participants were recruited (tele group: <i>n</i> = 23; hospital group: <i>n</i> = 23). Both groups showed statistically significant improvements in the BBS scores (tele: post-pre = 3.50, <i>p</i> < 0.001; hospital: post-pre = 4.35, <i>p</i> < 0.001), with no statistically significant difference between the groups (mean difference: -0.85, <i>p</i> = 0.454). Chula PMS score also improved significantly in both groups (tele: post-pre = 3.45, <i>p</i> < 0.001; hospital: post-pre = 5.70, <i>p</i> < 0.001) without a statistically significant difference between the groups (mean difference: -2.25, <i>p</i> = 0.086). The attendance rate exceeded 90% in both groups.</p><p><strong>Conclusions: </strong>The motion sensor telerehabilitation significantly improved balance and mobility in PD patients with no statistically significant differences between the two groups. Feasibility was high. However, the BBS improvements did not reach the minimal clinically important difference, indicating the need for further investigation.</p><p><strong>Trial registration: </strong>Thai Clinical Trials Registry identifier: TCTR 20220924001.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"7191579"},"PeriodicalIF":2.2,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12934711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147311163","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":"Effectiveness of Digital and Remote Health Interventions in Pediatric Populations From Underserved or Rural Areas: A Systematic Review of Randomized Controlled Trials.","authors":"Víctor Beltrán, Liliann Abarza, Pablo Acuña-Mardones, Iris Espinoza, Alain Chaple Gil, Constanza Morales-Gómez, Vanessa Campos-Bijit, Rafael Contador, Leonardo Díaz, Eduardo Fernández","doi":"10.1155/ijta/5586850","DOIUrl":"https://doi.org/10.1155/ijta/5586850","url":null,"abstract":"<p><strong>Background: </strong>Children living in underserved and rural areas experience significant barriers to healthcare access due to geographic isolation, health workforce shortages, and systemic inequities. Digital and remote health interventions such as telehealth, telemental health (TMH), and mobile health (mHealth) offer promising strategies to improve pediatric health outcomes in these contexts. However, the extent of their effectiveness remains insufficiently examined through high-quality evidence.</p><p><strong>Methods: </strong>A systematic review was conducted in accordance with PRISMA 2020 guidelines and structured using the PROPS framework. Five databases (PubMed, Scopus, Web of Science, Embase, and Cochrane Library) were searched for randomized controlled trials (RCTs) published until May 2025. Eligible studies targeted children (0-17 years) in underserved or rural settings and evaluated digital or remote interventions versus standard care. Data were extracted on study design, population, intervention modality, outcomes, and implementation characteristics. Risk of bias was assessed using the Cochrane RoB 2.0 tool.</p><p><strong>Results: </strong>Eleven RCTs were included, covering interventions for obesity, asthma, ADHD, diabetes, oral health, and neonatal care. Telehealth interventions improved behavioral and biometric outcomes (e.g., BMI <i>z</i>-score, and adherence), particularly in the United States. TMH showed high fidelity and effectiveness for ADHD management. mHealth interventions in low- and middle-income countries enhanced referral rates, service coverage, and caregiver engagement. Most studies were rated low risk of bias, though few incorporated economic or equity analyses.</p><p><strong>Conclusions: </strong>Digital health interventions are effective and feasible for improving pediatric outcomes in underserved settings. Future research should emphasize long-term impact, cost-effectiveness, and equitable access to ensure sustainable and inclusive digital healthcare delivery.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"5586850"},"PeriodicalIF":2.2,"publicationDate":"2026-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12908196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146214604","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":"Enhancing the Diagnosis of Behçet's Disease Using Machine Learning: A Comparative Study on Clinical Data From Saudi Arabia.","authors":"Hanady Alalwany, Nofe Alganmi, Yasser Bawazir, Mohammad Mustafa, Heba Abusamra, Haneen Banjar, Areej Alhothali, Somayah Albaradei","doi":"10.1155/ijta/6157852","DOIUrl":"10.1155/ijta/6157852","url":null,"abstract":"<p><p>Behçet's disease (BD) is one of the most difficult diseases to diagnose in the field of rheumatic immune diseases because it is rare, has many different symptoms, and we do not know much about how it works. Instead of trying to make a direct clinical diagnosis, this study was set up as an exploratory investigation to find out more about BD and figure out which clinical and laboratory features are most important. To accomplish this, clinical data were gathered from 148 patients (76 with bipolar disorder and 72 with rheumatoid arthritis) at the Rheumatology Clinic of King Abdulaziz University. We used several machine learning (ML) algorithms, such as decision tree, bagging, random forest (RF), XGBoost, and support vector machines (SVMs), to see if they could learn patterns that set BD apart from other rheumatic diseases. We used three different methods to find out how important each feature was: built-in model importance, permutation-based analysis, and Shapley additive explanation (SHAP) values. The ML models worked well, with the RF getting the best accuracy (96.7%) and an area under the curve (AUC) of 1.0. XGBoost came in second with an AUC of 0.9985. The feature analysis showed that the results were partially in line with established diagnostic criteria (Japan, ISG, and ICBD), with oral ulcers being the most important feature. Overall, this study serves as an exploratory framework to deepen understanding of BD's distinctive characteristics and underlying feature interactions, offering insights that can inform future diagnostic support systems rather than serving as a diagnostic tool itself.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2026 ","pages":"6157852"},"PeriodicalIF":2.2,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12831129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146054331","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}