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IntroductionThe increasing development of large language models (LLM) in healthcare research is taking place without patient and public involvement and engagement (PPIE). Part of the challenge is the lack of accessible educational resources to promote literacy around LLMs.MethodsWe employed a co-design approach with 6 PPIE contributors from Tower Hamlets, London to develop educational animations about […]

IntroductionEmergency department overcrowding due to non-urgent visits places a considerable burden on the healthcare system. Mobile health (mHealth) technologies offer potential solutions by providing community-based alternatives for emergency care.MethodsIn this study, we analyzed 4 years of implementation data from Maccabi-RED, a smartphone app-based emergency care service launched in 2019 by Israel’s second-largest healthcare maintenance organization. […]

IntroductionIn the aftermath of the COVID-19 pandemic, restrictive pulmonary complications have emerged as a common long-term sequela. To address these impairments, a novel flow-based respiratory incentive device, UBICU, was developed to promote lung expansion through gamification and visual feedback. The aim of this study was to describe the pulmonary ventilation distribution using Electrical Impedance Tomography […]

Sentiment analysis has been of long-standing interest in psychotherapy research. Recently, the Transformer deep learning architecture has produced text-based sentiment analysis models that are highly accurate and context-aware. These models have been explored as proxies for emotion measurement instruments in psychotherapy, but not investigated as stand-alone psychometric tools. Using proposed utterance-level and session-level sentiment features […]

IntroductionBreast cancer diagnosis in mammograms remains challenging due to limitations in preprocessing, accurate differentiation of benign and malignant cases, and precise tumor segmentation.MethodsWe propose Quantum-SpinalNet, a hybrid deep learning model combining Swin ResUNet3+ for tumor segmentation with a Deep Quantum Neural Network (DQNN) and SpinalNet for classification. Preprocessing involves CEAMF-based denoising, Z-score normalization, and context-aware […]

BackgroundArtificial intelligence (AI) has the potential to revolutionize healthcare delivery in low- and middle-income countries (LMICs), yet its rapid adoption raises complex ethical, regulatory, and implementation challenges. This review investigates these barriers and identifies emerging strategies that support equitable and inclusive AI deployment in resource-limited settings.MethodsFollowing the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines, a […]