AI ethics on Tuesday, 13 January 2026

By leveraging everyday technologies such as mobile apps, wearables, and AI-enabled tools, digital health interventions (DHIs) offer new pathways to integrate self-management and intervention programs into the fabric of daily life, while bridging gaps in care through continuous, context-aware support. Yet many tools underperform clinically because digital engagement ("screen time") is conflated with impact, while behavioral science is retrofitted, if applied at all. We propose the ENGAGE Framewor

Introduction Despite the potential of artificial intelligence (AI) to transform healthcare delivery and reduce costs, adoption remains uneven across populations. Understanding the demographic, behavioral, and cognitive factors influencing public willingness to use AI-powered health tools is critical for equitable implementation. This study examined determinants of AI adoption in healthcare among adults in the United States (U.S.). Methods A cross-sectional survey was conducted between March and

BACKGROUND: Genioplasty and chin-augmentation are well-established procedures aimed at enhancing lower facial aesthetics. Traditionally, aesthetic outcomes have been assessed subjectively through expert opinions and patient-reported measures. The integration of artificial intelligence (AI) offers an objective approach to evaluating surgical results. This study utilizes the ICA Aesthetic Navigation AI Research Metrics Model (ICAAN® ARMM) to analyze postoperative changes in facial attractiveness,

Introduction: Major depressive disorder (MDD) is a complex neuropsychiatric disorder with multifactorial origins involving oxidative stress, neuroinflammation, neurotransmitter imbalance, and HPA axis dysfunction. Conventional treatments are often limited by side effects and suboptimal efficacy, confirming the need for alternative therapies. This study investigates the antidepressant-like and neuroprotective potential of selenium nanoparticles biosynthesized using epigallocatechin gallate (SeNPs