Generative artificial intelligence (AI) has rapidly become embedded in academic writing, assisting with tasks ranging from language editing to drafting text and producing evidence. Despite the wide range of AI use, the expectations for disclosure remain inconsistent. Several journals use binary disclosure statements that fail to distinguish minor language assistance from uses that have a […]
A framework for culturally adapting mental mHealth apps
Mobile health (mHealth) apps are increasingly deployed for evidence-based mental health interventions, broadening access to care. While effective, Internet-based Cognitive Behavioural Therapy, delivered via web or app, frequently overlooks ethnic minority and migrant populations. Effective cultural adaptation of mHealth apps is critical to their impact and accessibility; however, existing frameworks often lack specific guidance for […]
Stratified and combined analysis of the quality of lumbar spinal stenosis–related videos on major Chinese short video platforms
BackgroundLumbar spinal stenosis (LSS) is a degenerative disorder in which narrowing of the spinal canal compresses neural elements, causing pain, numbness, and limited mobility. With the rapid growth of Chinese short video platforms (TikTok, Bilibili, Xiaohongshu, Kwai, and WeChat), the public increasingly relies on short videos for LSS-related health information. However, the quality of such […]
Differential acceptance of a national digital health platform among community and frontline health workers in Cote d’Ivoire: a cross-sectional study
IntroductionMobile-based digital health solutions are critical technologies that play a significant role in improving the quality of healthcare services. Cote d’Ivoire is digitizing its community-based health information system (CHIS), piloting the mHealth.ci that is composed of an eCHIS and other tools for community health workers (CHWs) and frontline health workers (FHWs) in the Poro health […]
Based on dual perspectives of management and ethics: exploring challenges and governance approaches for new media applications in psychiatric specialty hospitals
The further promotion and application of new media technologies present new opportunities for psychiatric specialty hospitals in areas such as health education, doctor-patient communication, service extension, and brand building. However, due to the unique characteristics and sensitivity of the mental health field, the challenges faced by new media applications in this domain far exceed those […]
Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care
ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/output operations per second (IOPS) bottlenecks and latency issues inherent in traditional SQL and general-purpose NoSQL systems, which impede real-time clinical decision-making.MethodsWe conceptualized and implemented “SubDataBase-0.91s,” a task-specific Database […]
Construction of patient trajectories to model clinical trial outcomes: application to myasthenia gravis
IntroductionAccurate prediction of patient outcomes in clinical trials is crucial for the timely assessment of treatment efficacy. This study proposes a novel approach to predict patient response using longitudinal clinical data.MethodsWe construct temporal trajectories from longitudinal data and extrapolate these trajectories to forecast individual patient outcomes. Additionally, we assess when new patients align with established […]
A randomized factorial experiment to optimize the design of a culturally tailored breast cancer screening outreach chatbot intervention
IntroductionThe main objective of this study is to assess the effects of chatbot persona and communication style on trust and intention to use for scheduling breast cancer screening (BCS).MethodsWe conducted a mixed-methods analysis of a randomized factorial experiment to evaluate different chatbot designs for a BCS intervention. The study protocol is registered on ClinicalTrials.gov (NCT05472064). […]
Effectiveness of digital and mobile-based interventions on sleep quality among nurses: a systematic review and meta-analysis
BackgroundNurses frequently endure diminished sleep quality, sleeplessness, and psychological distress due to high-intensity shifts and persistent work pressure. Digital health interventions are increasingly utilised to enhance sleep behaviour; however, systematic information about their real benefits on the nursing population remains insufficient.ObjectiveTo assess the efficacy of digital and mobile interventions on sleep and associated psychological consequences […]
Assessment of frontier Large Language Models in sleep medicine
Study objectivesTo evaluate and compare the performance of two proprietary frontier large language models (LLMs), ChatGPT-5 and Grok-4, on diagnostic reasoning and foundational knowledge tasks within the specialty domain of sleep medicine.MethodsThe models were evaluated on two tasks: case-based reasoning using 79 clinical vignettes from the AASM Case Book of Sleep Medicine and knowledge assessment […]
Film-based cultural narrative intervention to enhance mental health literacy and resilience in indigenous adolescents: a mixed-methods co-design study
BackgroundIndigenous adolescents in low- and middle-income countries experience heightened mental health risks while having limited access to culturally appropriate interventions. Mental health literacy, stigma, and resilience are critical determinants of help-seeking and long-term well-being, yet culturally grounded interventions addressing these factors remain scarce.ObjectiveThis study aimed to co-design and evaluate a culturally sensitive, film-based intervention to […]
E-Health implementation in Pakistan: challenges, opportunities, and the path forward
Post Content