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Digital Health
Scopus
ISSN 2055-2076 · SAGE Publishing · 3.883 artikel di indeks
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Artikel Jurnal
An ultrasound-based machine learning model for predicting pelvic adhesions: A SHAP-enhanced XGBoost approach
Objectives This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for interpretability analysis. Methods This prospective study included 220 patients who…
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Artikel Jurnal
Drivers of and barriers to adoption of digital therapeutics in five European countries
Background Digital therapeutics (DTx) are evidence-based software interventions with potential to complement conventional care; however, their adoption across European healthcare systems remains limited. Evidence on patient-level drivers, barriers, and implementation requirements is still scarce…
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Artikel Jurnal
Healthcare utilization outcomes of clinical pharmacist-led clinics and remote patient monitoring: Real-world evidence
Objective Remote patient monitoring (RPM) enables real-time data collection, improves care efficiency, and facilitates early detection of disease deterioration, yet evidence of its real-world impact in pharmacist-led clinics is limited. This study evaluated the impact of pharmacist-led care and the…
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Artikel Jurnal
Personalized diagnosis and treatment of aortic diseases driven by artificial intelligence: Applications, challenges and future prospects
Aortic aneurysm (AA) and aortic dissection (AD) are major forms of aortic disease and remain associated with substantial morbidity and mortality worldwide. Traditional diagnostic and treatment strategies largely depend on anatomical indicators, particularly maximum aortic diameter; however, such…
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Artikel Jurnal
Use of digital health technologies for cancer survivorship care: A Web of Science bibliometric analysis of literature explicitly identified by cancer survivorship terminology
Background Digital health technologies (DHTs), including mobile health, telehealth, wearables, electronic patient-reported outcomes, and artificial intelligence, increasingly support the expanding population of cancer survivors. This study mapped that literature in the Web of Science Core…
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Artikel Jurnal
Perceptions of physical activity leaderboards: A mixed methods analysis across two studies
Objective Digital health tools to promote physical activity (PA) frequently incorporate leaderboards, to encourage PA by activating social comparison processes (i.e., self-evaluation relative to others). However, the acceptability and utility of leaderboards to the general population remain…
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Artikel Jurnal
An interpretable random survival forest model for mortality risk prediction and an exploratory evaluation of the systemic immune-inflammation index in traumatic brain injury with intracranial hematoma
Objectives To develop and internally validate an interpretable random survival forest (RSF) model for short-term mortality in adults with traumatic brain injury (TBI) and intracranial hematoma and to evaluate the association between the systemic immune-inflammation index (SII) and mortality…
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Artikel Jurnal
Reframing wearables in therapy: Co-designing compassion-focused, practical guidance for the use of wearables in acute mental healthcare
Objective The integration of wearables, such as smartwatches, into mental healthcare holds promise for supporting self-management through the monitoring of physical activity and rest patterns, yet their implementation in clinical practice remains limited. Aligning with the values of stakeholders in…
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Artikel Jurnal
Smartwatch acceptance among patients with chronic kidney disease: Development and content validation of a TAM-based questionnaire
Background The acceptance of digital health technologies depends on multiple interrelated factors that should be understood before implementation. However, existing measurement instruments often lack a strong theoretical basis and a systematic development process adapted to healthcare settings. In…
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Artikel Jurnal
Artificial intelligence and radiomics in glioma: A bibliometric analysis of key trends and future frontiers
Objective Gliomas, the most common primary malignant brain tumors, present diagnostic and therapeutic challenges. Artificial intelligence (AI) and radiomics offer promising solutions, yet a macroscopic overview of this rapidly evolving field is lacking. This study provides a bibliometric analysis…
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Artikel Jurnal
Assessing the accuracy of AI-generated responses to periodontal scaling and root planing patient FAQs
Background/Objective Periodontal diseases affect nearly half the global population, making patient education critical for successful outcomes. With increasing public reliance on artificial intelligence (AI) for health information, evaluating the accuracy of AI-generated responses to periodontal…
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Artikel Jurnal
Developing smart-helper content to support home-based care for technology-dependent children with chronic complex conditions: An application of the double diamond design process
Background Technology-dependent children with chronic complex conditions often require intensive home-based care, which places substantial physical, emotional, and logistical burdens on family caregivers. Although digital-health technologies such as socially assistive robots show promise, few have…
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Artikel Jurnal
A participatory study of information and presentation priorities for a digital interface for bowel self-management
Background Difficulty controlling or emptying the bowel is a common issue with devastating physical and mental health impacts. Digital technologies supporting bowel self-management remain limited. We are exploring a system combining an implanted sensor with a digital interface to support bowel…
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Artikel Jurnal
Assessing the use of social media by medical and pharmacy students for drug-related and medical information in Saudi Arabia: A cross-sectional study
Background Social media platforms have emerged as frequently used sources of health- and drug-related information for medical and pharmacy students, especially in rapidly evolving knowledge fields. The extent to which students rely on these platforms and their perceived credibility and influence on…
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Artikel Jurnal
The application of artificial intelligence in the diagnosis, prediction and monitoring of acute lung injury/acute respiratory distress syndrome: A web of science core collection-based bibliometric analysis of research trends from 2011 to 2026
Objectives ALI/ARDS is a severe inflammatory lung disease with complex pathogenesis and limited specific therapeutic options. Artificial intelligence (AI) has shown increasing potential in the prediction, diagnosis, phenotypic identification, and monitoring of ALI/ARDS. However, the research…
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Artikel Jurnal
Hierarchical smart care demand among older adults in China: Associations with individual characteristics and implications for service design
Background Digital health technologies provide new opportunities to support healthy ageing. However, older adults differ in their needs, capabilities, and preferences for digital care services. Existing research has mainly focused on technology adoption, while less attention has been paid to the…
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Artikel Jurnal
Information quality, transparency, and readability of generative AI chatbot responses to parenting practice questions for infants and toddlers aged 0–3 years: A cross-sectional comparative study
Background Generative artificial intelligence (AI) chatbots are increasingly used by caregivers to obtain parenting information, but the quality, transparency, and readability of their responses remain uncertain. Objective To compare responses generated by six publicly available chatbots to…
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Artikel Jurnal
Perspectives of general practitioners in China on using AI in clinical practice: A qualitative study
Purpose To explore the perceptions, barriers, and facilitators of artificial intelligence (AI) integration into clinical practice among general practitioners (GPs) in China. Methods A qualitative study using semi-structured interviews guided by the Unified Theory of Acceptance and Use of Technology…
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Artikel Jurnal
Symptom checkers: Gaps in their evidence base and suggestions for accuracy evaluation
Symptom checkers (SCs) are mobile healthcare applications for the general population. Based on symptoms entered by the user, SCs provide a list of likely diagnoses and/or triage advice. Studies conducted so far show limited accuracy of current SCs with designs carrying a high risk of bias. In this…
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Artikel Jurnal
Response quality of large language models on periprosthetic fractures: A comparative evaluation of ChatGPT, Gemini, and Claude
Background Large language models (LLMs) are increasingly used for patient education, yet their performance in high-risk orthopaedic conditions remains uncertain. This study compared the accuracy, information quality, safety, and readability of ChatGPT, Gemini, and Claude responses to questions…
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