IntroductionThe detection of Autism Spectrum Disorder (ASD) remains challenging due to the heterogeneity of behavioural manifestations, limited dataset availability, and strict privacy requirements. Conventional centralized machine learning approaches often suffer from overfitting and limited generalizability across different age groups. This study proposes a federated learning (FL) framework to enable collaborative ASD screening across children, adolescents, […]
Amplifying missing voices in healthcare research: an AI framework for co-production of PPIE
Patient and Public Involvement and Engagement (PPIE) is essential for high-quality healthcare research, yet significant challenges persist in achieving diverse input. Traditional PPIE panels can struggle with recruitment limitations, geographical constraints, and resource intensity, resulting in panels that may not reflect population diversity or lived experiences. In order to address these challenges, we developed Panelyze, […]
Real-world outcomes from 2,905 episodes of hospital at home care: a propensity-matched cohort study
BackgroundHospital at home (HAH) services within the UK have expanded rapidly over the last 5 years, but there is comparatively little evidence demonstrating their clinical effectiveness. In this study, we evaluated the clinical outcomes, safety, and cost-effectiveness of a comprehensive HAH service in England.MethodsWe conducted a retrospective cohort study of patients admitted to our HAH […]
Medical clinical minds meet artificial intelligence: Italian physicians’ knowledge, attitudes, and concordance between Italian physicians and AI-generated diagnoses. A national cross-sectional study
BackgroundArtificial Intelligence has increasingly been integrated into clinical practice, yet its adoption and perception among medical professionals remain poorly understood, particularly in the Italian healthcare system. To investigate Italian physicians’ knowledge, attitudes, and clinical concordance with AI-generated diagnostic recommendations, using a validated questionnaire and a clinical scenario processed by ChatGPT.MethodsA national, cross-sectional web-based survey was […]
User experience design methodologies for developing a tele-round platform in public intensive care units in northern and northeastern Brazil
IntroductionDesigning digital health solutions for critical environments like intensive care units (ICUs) is challenging, especially in resource-constrained settings. The integration of user experience (UX) design methods into digital health development may improve alignment with clinical workflows, reduce barriers to adoption, and enhance perceived usefulness.ObjectiveTo apply user experience design methodologies to develop the interface of a […]
Preparing real-world data through common data model harmonization of cancer patient records in the COMNet platform at the Modena Oncology Center
ObjectivesThe transition from paper medical records to electronic health records (EHRs) has enabled the extraction of substantial real-world data, which can support future real-world evidence generation. This study aimed to convert heterogeneous oncology data from local EHR systems—collectively referred to as COMNet—into a standardized data model. In particular, the Observational Medical Outcomes Partnership Common Data […]
Editorial: Advancing vocal biomarkers and voice AI in healthcare: multidisciplinary focus on responsible and effective development and use
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Creating customized chatbots with ChatGPT to promote physical activity: a mini review
Artificial intelligence (AI) chatbots powered by large language models (LLMs) such as ChatGPT offer a promising approach for delivering scalable, personalized physical activity interventions. Despite growing interest in applying these tools to health behaviour change, concerns remain regarding accuracy, safety, hallucinations, privacy, and theoretical grounding. This mini-review summarizes current methods for creating customized ChatGPT-based chatbots […]
Digital rehabilitation in a low-resource setting: lessons from building an integrated ecosystem in Burundi
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A randomized, unblinded, controlled clinical study to assess the mobile digital health application INKA in the management of therapy refractory overactive bladder and mixed incontinence
BackgroundThis exploratory, two-arm, randomized, unblinded, controlled, multicentre study assessed the health benefits of the INKA app, a MDR class I CE-marked digital therapy companion for patients with overactive bladder (OAB) and mixed incontinence (MI). INKA offers self-guided educational, behavioural, and motivational content, along with physiotherapy modules and supports daily self-management, in accordance with current clinical […]
The association of transformer-based sentiment analysis with symptom distress and deterioration in routine psychotherapy care
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 […]
Distribution of pulmonary ventilation in women with post-COVID-19 before and after the use of a respiratory incentive device (UBICU): a pilot study
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 […]