IntroductionHuman Activity Recognition (HAR) using sensor-generated time-series data has gained significant attention for assessing mental and physical states to address various behavioral disorders. This study utilizes benchmark datasets of stress-related activities to improve prediction performance.MethodsTo achieve this, we employ multiple deep learning architectures, including Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Transformer […]
Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation
Generative AI platforms such as ChatGPT, Claude, and Gemini have become de facto mental health resources for millions of users worldwide, driven by accessibility, low cost, anonymity, and growing gaps in professional care. This rapid, unregulated adoption raises urgent concerns: misinformation from AI hallucinations, erosion of data privacy, algorithmic bias, emotional dependency, and the undermining […]
Receipt of Medicines Information From the Internet and Other Information Sources Among Adult Medicine Users in Developed Economies, 2010-2025: Systematic Review
Background: The internet, social media, and digital health tools have transformed access and receipt of medicines information (MI), complementing or replacing traditional sources, such as physicians, pharmacists, and package leaflets. Objective: This study aimed to examine the prevalence and patterns of adult medicine users’ receipt of MI from electronic sources (eg, internet and social media) […]
Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration
Background: Explainable artificial intelligence (xAI) is increasingly used in medical imaging to enhance transparency, clinical interpretability, and trust in artificial intelligence (AI)–assisted diagnostics, particularly in oncology. Evidence on how explainability is implemented, validated, and reported in cancer imaging remains fragmented. Objective: This scoping review aimed to systematically map research applying xAI methods to radiologic cancer […]
A Digital Toolkit for Weight Loss Maintenance in European Adults (NoHoW): 2×2 Factorial Randomized Controlled Trial
Background: Digital approaches to weight management have the potential to produce cost-effective and scalable weight management solutions. Effective behavior change interventions typically promote self-regulation of energy balance behaviors, which may be enhanced by incorporating emotion regulation strategies. Objective: This study aimed to evaluate the effectiveness of a digital behavior change toolkit for weight loss maintenance […]
Cyber Pros Can’t Decide If AI Is a Good or a Bad Thing
There is nothing cybersecurity professionals are more excited about, and nothing they fear more, than AI.
GitHub Confirms Breach, 4K Internal Repos Stolen
Open source software giant GitHub confirmed a data breach this week involving the theft of thousands of repos. One threat actor — TeamPCP — took credit.
Fake Android Apps Commit Carrier Billing Fraud for Premium Svcs.
The disguised apps use WebView automation, JavaScript injection, and OTP interception to avoid detection and complete fraudulent subscriptions.
Artificial Intelligence Centrality in Psychotic Delusions and Violence Risk in Forensic Psychiatry: Retrospective Observational Study of Judicial Decisions
Background: Artificial intelligence (AI)–themed delusions are increasingly observed in psychotic-spectrum disorders, reflecting the incorporation of contemporary sociotechnical elements into delusional systems. However, it remains unclear whether the structural role of AI within these belief systems is associated with increased violence risk or more restrictive forensic outcomes. Given the importance of dynamic clinical factors (eg, insight […]
Alignment Between Cardiologists and AI-Driven Diagnostic Systems: Mixed Methods Study
Background: The clinical value of artificial intelligence (AI)–based diagnostic systems depends not only on their accuracy but also on how well their outputs integrate with clinicians’ judgments in practice. Critical knowledge gaps remain regarding diagnostic concordance between AI and clinicians in stress echocardiography interpretation, patient characteristics predicting discordance, and how cardiologists respond when AI recommendations […]
Virtual Consultations for People With Intellectual Disabilities in General Practice and Community Care: Mixed Methods Qualitative Study
Background: Virtual consultations (VCs) using video or telephone were embraced at speed in general practice (GP) and community care during the COVID-19 pandemic. People with intellectual disabilities, their families, and support workers (SWs), along with health care professionals (HCPs), had to adapt quickly to this change in provision, but little is known about how this […]
Frailty-Based Remote Monitoring in Older Adults With Heart Failure: Conceptual Framework for Adaptive Digital Health Strategies
Remote monitoring is increasingly used in heart failure care, but most programs rely on uniform models that insufficiently reflect the heterogeneity of older adults, particularly with respect to frailty, cognitive impairment, functional dependency, and caregiver availability. This viewpoint argues that frailty should be considered a central determinant of remote monitoring design in older adults with […]