BACKGROUND: Neuromuscular diseases (NMDs) are rare disorders characterized by progressive muscle fibre loss, leading to replacement by fibrotic and fatty tissue, muscle weakness and disability. Early diagnosis is critical for therapeutic decisions, care planning and genetic counselling. Muscle magnetic resonance imaging (MRI) has emerged as a valuable diagnostic tool by identifying characteristic patterns of muscle involvement. However, the increasing complexity of these patterns complicates their interpretation, limiting their clinical utility. Additionally, multi-study data aggregation introduces heterogeneity challenges. This study presents a novel multi-study harmonization pipeline for muscle MRI and an AI-driven diagnostic tool to assist clinicians in identifying disease-specific muscle involvement patterns. METHODS: We developed a preprocessing pipeline to standardize MRI fat content across datasets, minimizing source bias. An ensemble of XGBoost models was trained to classify patients based on intramuscular fat replacement, age at MRI and sex. The SHapley Additive exPlanations (SHAP) framework was adapted to analyse model predictions and identify disease-specific muscle involvement patterns. To address class imbalance, training and evaluation were conducted using class-balanced metrics. The model's performance was compared against four expert clinicians using 14 previously unseen MRI scans. RESULTS: Using our harmonization approach, we curated a dataset of 2961 MRI samples from genetically confirmed cases of 20 paediatric and adult NMDs. The model achieved a balanced accuracy of 64.8% ± 3.4%, with a weighted top-3 accuracy of 84.7% ± 1.8% and top-5 accuracy of 90.2% ± 2.4%. It also identified key features relevant for differential diagnosis, aiding clinical decision-making. Compared to four expert clinicians, the model obtained the highest top-3 accuracy (75.0% ± 4.8%). The diagnostic tool has been implemented as a free web platform, providing global access to the medical community. CONCLUSIONS: The application of AI in muscle MRI for NMD diagnosis remains underexplored due to data scarcity. This study introduces a framework for dataset harmonization, enabling advanced computational techniques. Our findings demonstrate the potential of AI-based approaches to enhance differential diagnosis by identifying disease-specific muscle involvement patterns. The developed tool surpasses expert performance in diagnostic ranking and is accessible to clinicians worldwide via the Myo-Guide online platform.

• MeSH
• Adult MeSH
• Internet MeSH
• Middle Aged MeSH
• Humans MeSH
• Magnetic Resonance Imaging * methods   MeSH
• Neuromuscular Diseases * diagnosis   diagnostic imaging   MeSH
• Machine Learning * MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Mobile health (mHealth) is increasingly being used in contemporary health care provision owing to its portability, accessibility, ability to facilitate communication, improved interprofessional collaboration, and benefits for health outcomes. However, there is limited discourse on patient safety in real-world mHealth implementation, especially as care settings extend beyond traditional center-based technology usage to home-based care. OBJECTIVE: This study aimed to explore health care professionals' perspectives on the safety aspects of mHealth integration in real-world service provision, focusing on Hong Kong Special Administrative Region (SAR) and Wuhan city in mainland China. In Hong Kong SAR, real-world mHealth care provision is largely managed by the Hospital Authority, which has released various mobile apps for home-based care, such as Stoma Care, Hip Fracture, and HA Go. In contrast, mHealth care provision in Wuhan is institutionally directed, with individual hospitals or departments using consultation apps, WeChat mini-programs, and the WeChat Official Accounts Platform (a subapp within the WeChat ecosystem). METHODS: A multicenter qualitative study design was used. A total of 27 participants, including 22 nurses and 5 physicians, from 2 different health care systems were interviewed individually. Thematic analysis was used to analyze the data. RESULTS: The mean age of the participants was 32.19 (SD 3.74) years, and the mean working experience was 8.04 (SD 4.05) years. Most participants were female (20/27, 74%). Nearly half of the participants had a bachelor's degree (13/27, 48%), some had a master's degree (9/27, 33%), and few had a diploma degree (3/27, 11%) or a doctoral degree (2/27, 7%). Four themes emerged from the data analysis. Considering the current uncertainties surrounding mHealth implementation, participants emphasized "liability" concerns when discussing patient safety. They emphasized the need for "change management," which includes appropriate referral processes, adequate resources and funding, informed mHealth usage, and efficient working processes. They cautioned about the risks in providing mHealth information without ensuring understanding, appreciated the current regulations available, and identified additional regulations that should be considered to ensure information security. CONCLUSIONS: As health care systems increasingly adopt mHealth solutions globally to enhance both patient care and operational efficiency, it becomes crucial to understand the implications for patient safety in these new care models. Health care professionals recognized the importance of patient safety in making mHealth usage reliable and sustainable. The promotion of mHealth should be accompanied by the standardization of mHealth services with institutional, health care system, and policy-level support. This includes fostering mHealth acceptance among health care professionals to encourage appropriate referrals, accommodate changes, ensure patient comprehension, and proactively identify and address threats to information security.

• MeSH
• Patient Safety * MeSH
• Adult MeSH
• Qualitative Research MeSH
• Humans MeSH
• Mobile Applications MeSH
• Telemedicine * MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Geographicals
• China MeSH
• Hong Kong MeSH

Digital transformation is widely understood as a process where technology is used to modify an organization's products and services and to create new ones. It is rapidly advancing in all sectors of society. Researchers have shown that it is a multidimensional process determined by human decisions based on ideologies, ideas, beliefs, goals, and the ways in which technology is used. In health care and health, the end result of digital transformation is digital health. In this study, a detailed literature review covering 560 research articles published in major journals was performed, followed by an analysis of ideas, beliefs, and goals guiding digital transformation and their possible consequences for privacy, human rights, dignity, and autonomy in health care and health. Results of literature analyses demonstrated that from the point of view of privacy, dignity, and human rights, the current laws, regulations, and system architectures have major weaknesses. One possible model of digital health is based on the dominant ideas and goals of the business world related to the digital economy and neoliberalism, including privatization of health care services, monetization and commodification of health data, and personal responsibility for health. These ideas represent meaningful risks to human rights, privacy, dignity, and autonomy. In this paper, we present an alternative solution for digital health called human-centric digital health (HCDH). Using system thinking and system modeling methods, we developed a system model for HCDH. It uses 5 views (ideas, health data, principles, regulation, and organizational and technical innovations) to align with human rights and values and support dignity, privacy, and autonomy. To make HCDH future proof, extensions to human rights, the adoption of the principle of restricted informational ownership of health data, and the development of new duties, responsibilities, and laws are needed. Finally, we developed a system-oriented, architecture-centric, ontology-based, and policy-driven approach to represent and manage HCDH ecosystems.

• MeSH
• Digital Technology MeSH
• Digital Health * MeSH
• Humans MeSH
• Human Rights MeSH
• Patient-Centered Care * MeSH
• Privacy MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

BACKGROUND: Psychological distress is recognized as an independent risk factor for cardiovascular diseases (CVDs), contributing to increased morbidity and mortality. While eHealth is increasingly used to deliver psychological interventions, their effectiveness for patients with CVDs remains unclear. OBJECTIVE: This meta-analysis aimed to evaluate the effects of eHealth psychological interventions for patients with CVDs. METHODS: Eligible studies were retrieved from 5 databases (Embase, Medline, PubMed, CINAHL, and Cochrane Library), covering the period from database inception to December 2024. Randomized controlled trials (RCTs) investigating the effect of evidence-based psychological eHealth interventions to improve psychosocial well-being and cardiovascular outcomes for people with CVDs were included. The Cochrane Risk of Bias tool (version 2) was used to judge the methodological quality of reviewed studies. RevMan (version 5.3) was used for meta-analysis. RESULTS: A total of 12 RCTs, comprising 2319 participants from 10 countries, were included in the review. The results demonstrated significant alleviation of depressive symptoms for patients receiving psychological eHealth intervention compared to controls (number of paper included in that particular analysis, n=7; standardized mean difference=-0.30, 95% CI -0.47 to -0.14; I2=57%; P<.001). More specifically, in 6 trials where internet-based cognitive behavioral therapy was delivered, a significant alleviation of depressive symptoms was achieved (standardized mean difference=-0.39, 95% CI -0.56 to -0.21; I2=53%; P<.001). There was no significant change in anxiety or quality of life. Synthesis without meta-analysis regarding stress, adverse events, and cardiovascular events showed inconclusive findings. CONCLUSIONS: Psychological eHealth interventions, particularly internet-based cognitive behavioral therapy, can significantly reduce depressive symptoms among patients with CVDs. A multidisciplinary approach is crucial for comprehensively improving psychological and cardiovascular outcomes. Future studies should explore integrating persuasive design features into eHealth and involving mental health professionals for intervention delivery. TRIAL REGISTRATION: PROSPERO CRD42023452276; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023452276.

• MeSH
• Depression therapy   MeSH
• Cardiovascular Diseases * psychology   therapy   MeSH
• Cognitive Behavioral Therapy MeSH
• Humans MeSH
• Randomized Controlled Trials as Topic MeSH
• Telemedicine * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Meta-Analysis MeSH
• Review MeSH
• Systematic Review MeSH

INTRODUCTION: Consumer behavior on the Internet is influenced by factors that can affect consumers' perceptions and attention to products. Understanding these processes at the neurobiological level can help to understand consumers' implicit responses to marketing stimuli. The objective of this study is to use electroencephalography (EEG) to investigate the differential effects of selected online purchase decision factors that are becoming increasingly important in online shopping. METHODS: Using event-related potentials (ERPs) and simultaneous eye-tracking measurements, we identified differences in the perception of utilitarian and hedonic products when the products are exposed together with visual elements of the factors review, discount, and quantity discount. The ERP analysis focused on the P200 and late positive potential components (LPP). RESULTS: By allowing free-viewing of stimuli during measurement, early automatic and later more complex attentional affective responses could be observed. The results suggest that the review and discount factors are processed faster than the product itself. However, the eye-tracking data indicate that the brain processes the factor without looking at it directly, i.e., from a peripheral view. DISCUSSION: The study also demonstrates the possibilities of using new objective methods based on neurobiology and how they can be applied, especially in areas where the use of neuroscience is still rare, yet so much needed to objectify consumers' knowledge of their need satisfaction behavior.

• Publication type
• Journal Article MeSH

BACKGROUND: Over the past 25 years, the development of multiuser applications has seen considerable advancements and challenges. The technological development in this field has emerged from simple chat rooms through videoconferencing tools to the creation of complex, interactive, and often multisensory virtual worlds. These multiuser technologies have gradually found their way into mental health care, where they are used in both dyadic counseling and group interventions. However, some limitations in hardware capabilities, user experience designs, and scalability may have hindered the effectiveness of these applications. OBJECTIVE: This systematic review aims at summarizing the progress made and the potential future directions in this field while evaluating various factors and perspectives relevant to remote multiuser interventions. METHODS: The systematic review was performed based on a Web of Science and PubMed database search covering articles in English, published from January 1999 to March 2024, related to multiuser mental health interventions. Several inclusion and exclusion criteria were determined before and during the records screening process, which was performed in several steps. RESULTS: We identified 49 records exploring multiuser applications in mental health care, ranging from text-based interventions to interventions set in fully immersive environments. The number of publications exploring this topic has been growing since 2015, with a large increase during the COVID-19 pandemic. Most digital interventions were delivered in the form of videoconferencing, with only a few implementing immersive environments. The studies used professional or peer-supported group interventions or a combination of both approaches. The research studies targeted diverse groups and topics, from nursing mothers to psychiatric disorders or various minority groups. Most group sessions occurred weekly, or in the case of the peer-support groups, often with a flexible schedule. CONCLUSIONS: We identified many benefits to multiuser digital interventions for mental health care. These approaches provide distributed, always available, and affordable peer support that can be used to deliver necessary help to people living outside of areas where in-person interventions are easily available. While immersive virtual environments have become a common tool in many areas of psychiatric care, such as exposure therapy, our results suggest that this technology in multiuser settings is still in its early stages. Most identified studies investigated mainstream technologies, such as videoconferencing or text-based support, substituting the immersive experience for convenience and ease of use. While many studies discuss useful features of virtual environments in group interventions, such as anonymity or stronger engagement with the group, we discuss persisting issues with these technologies, which currently prevent their full adoption.

• MeSH
• Mental Disorders therapy   MeSH
• Mental Health MeSH
• Humans MeSH
• Mental Health Services * MeSH
• Telemedicine MeSH
• Videoconferencing MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH
• Systematic Review MeSH

BACKGROUND: Adolescence is often seen as an important period for further personality development. In today's world, it is therefore important to keep track of current trends in adolescents. One of them is addictive behaviour in the context of the online environment. Spending too much time online can have a negative impact on the quality of life of adolescents. It is therefore important to pay increased attention to this phenomenon and to respond adequately to the current situation. METHODS: Our study focuses on the prevalence of Internet addiction among Czech and Slovak adolescents. In total, 3,741 respondents participated in the project (N = 2,642 CZ; N = 1,099 SK); their ages ranged from 11 to 19 years (M = 14.38; SD ± 2.27). The research addressed differences among individual types of schools and between sexes in relation to Internet addiction. The research focused on adolescents attending secondary schools (ISCED 2 and 3) between the ages of 11 and 19 in the Czech and Slovak Republics. A questionnaire battery consisting of a sociodemographic questionnaire and the Internet Addiction Test (IAT) questionnaire was used for data collection. RESULTS: In relation to the category of Internet use, girls did not score higher than boys either in the Czech group F(1, 2112) = .089, p = .765, or in the Slovak group F(1, 927) < .001 p = .994. There is a significant effect of school type both in the Czech group F(4, 2100) = 11.483, p < .001, and in the Slovak group F(4, 859) = 2.859, p = .023. CONCLUSIONS: Our research indicates that some adolescents, particularly boys, face issues with excessive Internet use, affecting social interactions. Further studies in the Czech Republic could explore the link between psychosocial factors and adolescent Internet use. This highlights the need to raise awareness among professionals about Internet addiction in Czech and Slovak adolescents.

• MeSH
• Adolescent Behavior psychology   MeSH
• Child MeSH
• Internet statistics & numerical data   MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Behavior, Addictive epidemiology   psychology   MeSH
• Internet Addiction Disorder * epidemiology   psychology   MeSH
• Prevalence MeSH
• Surveys and Questionnaires MeSH
• Sex Factors MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH
• Slovakia MeSH

BACKGROUND: Fertility centre websites are a key sources of information on medically assisted reproduction (MAR) for both infertile people and the general public. As part of a global fertility market, they are also a window to attract potential future patients. They give formal and practical information but in the way the information is displayed, they also convey social representations, and in particular, gender representation in its intersectional dimension. The objective is to analyse the sex, class and race representations regarding reproduction and parenthood that are embedded in the content of fertility centre websites in eight European countries. METHODS: The 5 most visible fertility centres that appeared in the first places on Internet search were selected for each country under study, except for one country which has only three fertility centres. In total, 38 fertility centre websites were considered for a thematic analysis using an iterative approach and a comprehensive perspective. RESULTS: Each centre details its services and techniques according to the legal provisions in force in its country. However, on all the websites studied, the fertility centres demonstrate a strong gendered representation. The logos generally depict women or parts of their bodies, as do the photos, which mainly show white women with light eyes. The description of the causes of infertility and the techniques offered by the centres also highlights gender differences. Sperm donation, where MAR is reserved for heterosexual couples, is included among the techniques for women with the comment that it will enable them to fulfil their dream of becoming mothers. CONCLUSIONS: MAR, and through it the project of having a child and procreative work, is presented as a matter for white, cisgender and heterosexual women, thus fueling stratified reproduction and limiting reproductive justice. The research team formulated guidelines for fertility centres to encourage them to adopt a more inclusive approach in terms of sex, social class and race, so that the diversity of infertile people feel involved and welcome in these centres, to avoid misperceptions about infertility in the general population and to reinforce autonomy and justice in reproductive matters.

• MeSH
• Reproductive Techniques, Assisted * MeSH
• Infertility psychology   MeSH
• Internet MeSH
• Fertility Clinics MeSH
• Humans MeSH
• Reproduction MeSH
• Socioeconomic Factors MeSH
• Social Class MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Europe MeSH

BACKGROUND: Remote measurement technology (RMT) involves the use of wearable devices and smartphone apps to measure health outcomes in everyday life. RMT with feedback in the form of data visual representations can facilitate self-management of chronic health conditions, promote health care engagement, and present opportunities for intervention. Studies to date focus broadly on multiple dimensions of service users' design preferences and RMT user experiences (eg, health variables of perceived importance and perceived quality of medical advice provided) as opposed to data visualization preferences. OBJECTIVE: This study aims to explore data visualization preferences and priorities in RMT, with individuals living with depression, those with epilepsy, and those with multiple sclerosis (MS). METHODS: A triangulated qualitative study comparing and thematically synthesizing focus group discussions with user reviews of existing self-management apps and a systematic review of RMT data visualization preferences. A total of 45 people participated in 6 focus groups across the 3 health conditions (depression, n=17; epilepsy, n=11; and MS, n=17). RESULTS: Thematic analysis validated a major theme around design preferences and recommendations and identified a further four minor themes: (1) data reporting, (2) impact of visualization, (3) moderators of visualization preferences, and (4) system-related factors and features. CONCLUSIONS: When used effectively, data visualizations are valuable, engaging components of RMT. Easy to use and intuitive data visualization design was lauded by individuals with neurological and psychiatric conditions. Apps design needs to consider the unique requirements of service users. Overall, this study offers RMT developers a comprehensive outline of the data visualization preferences of individuals living with depression, epilepsy, and MS.

• MeSH
• Depression * psychology   MeSH
• Adult MeSH
• Epilepsy * psychology   MeSH
• Qualitative Research * MeSH
• Middle Aged MeSH
• Humans MeSH
• Mobile Applications MeSH
• Wearable Electronic Devices MeSH
• Patient Preference psychology   statistics & numerical data   MeSH
• Multiple Sclerosis * psychology   MeSH
• Aged MeSH
• Telemedicine MeSH
• Data Visualization MeSH
• Focus Groups * MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Despite extensive evidence on the impact of various mental health issues including smartphone/internet addiction, and personality traits on academic achievement, little is known about the complex interactions between multiple of these factors simultaneously, as well as cross-country differences in these nuanced relationships. In particular, understanding the role of the mentioned addictions has become increasingly important in recent years in the context of the COVID-19 pandemic. The aim of this cross-country study was to investigate, using path analysis, the complex relationships between mental health determinants (depression, anxiety, stress, resilience, and smartphone/internet addiction) and academic achievement in 1785 Czech and Chinese university students using an online battery of psychological tests. The results confirmed the previously described effect of multiple factors (anxiety, stress, resilience, smartphone/internet addiction, personality traits, and sex, Extraversion, Agreeableness, Conscientiousness) on academic achievement, overlapping in most cases for both groups of students. At the same time, however, different country-dependent patterns of interactions emerged. For the Czech students, the variables formed a complex network of interacting factors, whereas for the Chinese students, the effect of each cluster of factors was separate for individual domains of academic achievement. These cross-country differences have implications particularly for planning and targeting the most effective interventions to promote and develop academic achievement.

• MeSH
• Smartphone MeSH
• COVID-19 * psychology   epidemiology   MeSH
• Depression psychology   MeSH
• Adult MeSH
• Mental Health MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Behavior, Addictive psychology   MeSH
• Internet Addiction Disorder * psychology   MeSH
• Personality * MeSH
• Academic Success * MeSH
• Cross-Cultural Comparison MeSH
• Students * psychology   statistics & numerical data   MeSH
• Universities MeSH
• Anxiety psychology   MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH
• China MeSH