Health Policy

Differences in Safety Risks Across Languages in Health-Relevant Queries: Vulnerability Analysis of Large Language Model Responses.

BACKGROUND: Large language models (LLMs) such as ChatGPT are increasingly used to support health-related queries and decision-making. However, these models can be "jailbroken" through adversarial prompts that bypass safety filters and elicit harmful or medically inappropriate responses. In health care contexts, such vulnerabilities pose serious risks. Understanding how jailbreak susceptibility var...

Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.

HIPAA breaches and unauthorized access to Electronic Health Records (EHRs) have been growing more likely due to the sudden digitalization of the healthcare sector. High endurance, privacy-based security practices have never been more in demand as hospitals and other medical facilities of this type have clung to the electronic system. The given study considers this problem by suggesting an anomaly ...

Spatial synergy in the digital era: a geo-analytics framework for detecting regional health patterns in urban smart city development.

BACKGROUND: With enhanced digitization of large-scale health and socio-economic data, it has generated new opportunities and challenges in the process...

Environmental geochemistry and quality assessment of springs water in the Sikkim Himalaya: an entropy-weighted & machine learning approach.

Himalayan rivers are crucial for freshwater supply, ecosystem services, and livelihoods across their course from mountains to floodplains, but climate...

Digital literacy equity in AI-enhanced English learning: Access, participation, and implications for language education policy.

Despite the rapid integration of artificial intelligence (AI) into English language education, significant disparities persist in learners' ability to...

Technology meets trust: a UTAUT-driven exploration of AI-based medical device implementation in healthcare.

PURPOSE: Healthcare sectors are increasingly adopting artificial intelligence (AI) to speed up disease diagnosis, tailor treatments to individual pati...

AI and longevity medicine: unlocking predictive and preventive strategies for healthy aging.

Longevity medicine is transforming healthcare by shifting the focus from disease treatment toward the preservation of function, resilience, and health...

Artificial intelligence/machine learning in Alaska Native healthcare systems: symposium perspectives.

Artificial intelligence and machine learning (AI/ML) utilisation in Alaska Native and American Indian (AN/AI) healthcare presents an opportunity to ad...

Cost-effectiveness of artificial intelligence interventions for musculoskeletal disorders of the spine: a systematic review.

Musculoskeletal disorders (MSDs) represent a substantial global health burden, and artificial intelligence (AI)-based technologies are emerging as pot...

Application and effectiveness of artificial intelligence in adolescent mental health support and therapy: a scoping review.

BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving need...

Learning-based fault-tolerant control for flexible joint robotic manipulators: An actor-critic framework with experimental verification.

Flexible-joint robotic manipulators (FJRMs) offer significant advantages over traditional rigid-link counterparts, including improved dexterity, great...

Empowering researchers and healthcare professionals in academic publishing: key insights and practical lessons from the British Society of Antimicrobial Chemotherapy (BSAC) workshop 2025.

The British Society of Antimicrobial Chemotherapy (BSAC) Academic Publishing Workshop, held at the Birmingham City Event Centre in the UK from 19 to 2...

The SUPREME Index for 30-day all-cause readmission: development and internal validation of a machine learning-based risk stratification index in community-dwelling adults.

BACKGROUND: Hospital readmissions are a key indicator of healthcare quality and have substantial implications for patient outcomes and system-level co...

Tech-based evaluation of healthcare quality during the COVID-19 pandemic.

The coronavirus disease 2019 pandemic profoundly disrupted global health systems, exacerbating preexisting inequalities in access to and quality of ca...

Contrasting Impacts of Policy Interventions and Population Mobility on Organic Aerosols and Oxygenated Volatile Organic Compounds in Beijing.

Organic aerosol (OA) is a dominant component of fine particulate matter in megacities, yet disentangling the impacts of emission changes from meteorol...

Zebrafish Behavioral Phenotyping: Current Assays, Automated Platforms, and the Emerging Need for AI in Neuroscience, Drug Discovery and Toxicology.

Over the past two decades, zebrafish have become an increasingly prominent model organism for basic research, drug discovery, and toxicology. Its adva...

Integrating AI into hospital workflows: implementation strategies and real-world barriers.

Artificial intelligence (AI) is increasingly being integrated into hospital systems with the potential to transform clinical workflows, operational ef...

Diagnostic Performance of an Artificial Intelligence Model for Retinal Abnormalities in Primary Health Care: A Real-World Teleophthalmology Study.

INTRODUCTION: Timely access to ophthalmological care is a challenge in primary health care (PHC). Teleophthalmology and artificial intelligence (AI) a...

Effect of a Personalized Mobile Health Intervention Using Artificial Intelligence (the WARIFA App) Versus a Nonpersonalized Intervention on User-Defined Objectives, Healthy Lifestyles, and Management of Type 1 Diabetes (T1D): Protocol for a Randomized Controlled Trial.

BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and respiratory diseases, cancer, and type 2 diabetes sh...

Machine learning outperforms serum creatinine for early risk stratification of hepatorenal syndrome: a prospective single-center validation.

BACKGROUND: The early diagnosis of hepatorenal syndrome (HRS) is constrained by the reliance on serum creatinine, a biomarker with well-documented lim...