Privacy-preserving augmentation of structured telehealth activity data in diabetes patients using natural language processing

IntroductionDiabetes management increasingly relies on telehealth platforms in which patients generate structured and unstructured data. This unstructured data, in the form of free-text notes often contain additional information beyond the structured data. Extracting this information can enhance patient profiles and optimize treatment. In particular, the extraction of physical activity information from these notes is considered […]

AI-driven personalised management platform enhances glycaemic control and remission rates in type 2 diabetes: a quasi-experimental prospective cohort study

Background and aimAlthough artificial intelligence (AI) technologies show promise in diabetes management, real-world evidence supporting AI-driven personalized care remains limited. We developed an AI-powered platform that generates dynamic self-management plans (DSMPs) and enables continuous, whole-process patient monitoring. This study aimed to evaluate its effectiveness in patients with type 2 diabetes mellitus (T2DM).DesignThis was a 12-month, […]

Using the behavior change wheel to develop text messages intervention (MedText-PCI) to promote medication adherence in patients after PCI

ObjectivesThis study aimed to use the Behaviour Change Wheel (BCW) framework to develop a theory-informed text message intervention (MedText-PCI) to improve medication adherence in patients after percutaneous coronary intervention (PCI).MethodsThis intervention development study was guided by the BCW framework. A behavioural diagnosis was first undertaken to identify barriers and facilitators to medication adherence, which were […]

Rationale and methods of the MOVI-HIIT! cluster-randomized controlled trial: an avatar-guided virtual platform for classroom activity breaks and its impact on cognition, adiposity, and fitness in preschoolers

IntroductionClassroom-based active breaks (ABs) have been shown to reduce sedentary time and increase physical activity in primary school children; however, evidence regarding their effects on body composition, physical fitness, cognition and other health-related outcomes remains limited in preschool children. This article describes the rationale and prespecified methods of the MOVI-HIIT study, a cluster-randomised controlled trial […]

Explainable AI in kidney stone detection and segmentation: a mini review

Kidney stones are one of the most common renal disorders that can produce severe complications if not diagnosed and treated early. Recently, advances in AI have ensured that deep learning and explainable AI enable the automatic segmentation and detection of kidney stones from medical imaging, thus improving diagnostic efficiency and accuracy. For this review, eighteen […]

Feasibility testing of a home-based exercise intervention in children with cerebral palsy who are ambulant—a study protocol of the HOME-EX study

Children gain increased health and well-being by participating in physical activity. Children with cerebral palsy who are ambulatory (CP-A) are known to be less physically active than children without physical disabilities, making them an important group of children to support in becoming more physically active. Assistive technologies, such as eHealth, may support physical exercise in […]

Teleophthalmology adoption and perceived barriers among Colombian general practitioners: a cross-sectional study

BackgroundTelemedicine has improved access to healthcare, reduced costs, and minimized infection risks, particularly during the COVID-19 pandemic. Teleophthalmology may enhance access to eye care, but its adoption remains limited by barriers such as inadequate training and insufficient infrastructure.ObjectivesTo assess perceptions, self-reported ophthalmologic confidence, and perceived barriers related to teleophthalmology among Colombian general practitioners.MethodsWe conducted a […]

Adapting DeepLabV3+ for biopsy cervical cancer lesion segmentation

IntroductionCervical cancer remains a leading cause of cancer mortality in resource-constrained settings, where access to advanced digital pathology equipment is severely limited. Automated histopathological image segmentation offers a potential pathway to improve diagnostic access, but practical solutions combining affordable hardware with robust deep learning remain underdeveloped.MethodsWe present an approach combining smartphone-assisted microscopy with DeepLabV3+ architecture […]

Assessing perceived needs for telepathology implementation in Colombia: a baseline study from Red GLORIA

BackgroundCancer diagnosis in Colombia faces delays and regional inequities, particularly in rural and underserved areas where access to subspecialist pathology is limited. General pathologists in these contexts frequently manage complex oncological cases with limited expert support, which may increase diagnostic uncertainty and professional burden.MethodsA concurrent mixed-methods design was applied within the GLORIA (Globalization of a […]

A pilot feasibility study of a tablet-based virtual community application with shared avatars for promoting health behavior change in older adult care facilities

BackgroundMaintaining exercise and medication habits is crucial for older adults, but conventional reminder-based digital interventions often produce only transient effects.MethodsWe conducted a mixed-methods pilot feasibility study comparing a reminder-only intervention (Experiment 1, N = 10) with a healthcare community app combining reminders and avatar-based virtual social interaction (Experiment 2, N = 10) in older adult […]

Adapting to the digital age in psychiatry: evaluating change in emergency department nurses and psychiatrists’ views toward telepsychiatry for involuntary hospitalization

IntroductionImplementing change in organizations is challenging, and a key factor in success is the perception of the implementers. While many studies report on implementers’ perceptions as barriers or facilitators for implementing innovations, they often do not examine how these perceptions change over time. We aimed to evaluate changes in perceptions among nurses and psychiatrists in […]

Subscribe for Updates

Copyright 2025 dijee Intelligence Ltd.   dijee Intelligence Ltd. is a private limited company registered in England and Wales at Media House, Sopers Road, Cuffley, Hertfordshire, EN6 4RY, UK registration number 16808844