ObjectiveTo explore how social media influences cosmetic and gynecologic aesthetic decision-making among women in Saudi Arabia, with attention to behavioral, psychological, ethical, and cultural dimensions.MethodsA structured narrative review guided by SANRA principles was conducted using publications from 2018 to 2024 identified through PubMed, OpenAlex, and institutional repositories. Studies were screened thematically and synthesized using a […]
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, […]
Deep learning for intracranial hemorrhage detection and classification in brain CT scans: a systematic review and hybrid model approach
BackgroundIntracranial hemorrhage (ICH) is a life-threatening medical emergency requiring rapid and accurate diagnosis. Non-contrast computed tomography (CT) remains the primary imaging modality for detecting acute hemorrhage. In recent years, machine learning (ML) and deep learning (DL) approaches have gained increasing attention for automated detection and classification of ICH and its subtypes. This systematic review aims […]
Federated learning for fair autism spectrum disorder screening across age-heterogeneous populations
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, […]
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 […]
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 […]
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 […]
Ethical examination of AI coaches: privacy, bias, and responsibility
The integration of artificial intelligence (AI) into sports, particularly through AI-driven coaching systems, marks a transformative advancement with the potential to revolutionize personalized training. AI coaches can create customized, data-driven training programs designed to optimize athletic performance. However, this technological progress also brings with it significant ethical concerns, including privacy violations, data biases, and ambiguous […]
Activist investor renews its criticism of Novavax
Shah Capital has fired another broadside at vaccine firm Novavax, accusing its board and management of a “destruction in shareholder value.”
David Sinclair startup Life Biosciences raises $80M for clinical test of anti-aging gene therapy
A startup developing a one-time treatment that is intended to rewind the clock on dying cells announced a major influx of funding. Life Biosciences, a startup co-founded by Harvard biologist David Sinclair, has raised an …
Jeito closes ‘record’ $1.2bn Europe-focused biopharma fund
Jeito Capital has closed its second fund, raking in €1bn, which it claims is the largest ever raise for an independent European biopharma fund.
Cybersecurity breaches in medical devices: analyzing FDA safety communications in response to patient security concerns
IntroductionThe increasing integration of connected medical devices and internet of things (IoT) technologies in healthcare has significantly improved patient care and operational efficiency. However, this rapid digital transformation has also introduced serious cybersecurity vulnerabilities in medical devices, posing risks to patient safety and sensitive health data. Cybersecurity threats can allow unauthorized remote access to devices, […]