BackgroundLarge Language Models (LLMs) have raised broad expectations for clinical use, particularly in the processing of complex medical narratives. However, in practice, more targeted Natural Language Processing (NLP) approaches may offer higher precision and feasibility for symptom extraction from real-world clinical texts. NLP provides promising tools for extracting clinical information from unstructured medical narratives. However, […]
Optimized BERT-based NLP outperforms zero-shot methods for automated symptom detection in clinical practice
BackgroundLarge Language Models (LLMs) have raised broad expectations for clinical use, particularly in the processing of complex medical narratives. However, in practice, more targeted Natural Language Processing (NLP) approaches may offer higher precision and feasibility for symptom extraction from real-world clinical texts. NLP provides promising tools for extracting clinical information from unstructured medical narratives. However, […]
Apache Issues Max-Severity Tika CVE After Patch Miss
The Apache Software Foundation’s earlier fix for a critical Tika flaw missed the full scope of the vulnerability, prompting an updated advisory and CVE.
Social Media Metrics and Popular Legitimacy: Content Analysis of Pre– and Post–COVID-19 Public Engagement With the World Health Organization on X
Background: The World Health Organization (WHO) plays a critical role in global health governance, but its popular legitimacy, a measure of public trust and support, has been contested, particularly during crises such as the COVID-19 pandemic. While legitimacy is widely studied through normative and elite-focused approaches, empirical assessments using public discourse remain limited. Social media […]
Exploitation Activity Ramps Up Against React2Shell
Attacks against CVE-2025-55182, which began almost immediately after public disclosure last week, have increased as more threat actors take advantage of the flaw.
Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review
Background: Health research that uses predictive and/or generative AI is rapidly growing. Just as in traditional clinical studies, the way in which AI studies are conducted can introduce systematic errors. Transmission of this AI evidence into clinical practice and research needs critical appraisal tools for clinical decision makers and researchers. Objective: To identify existing tools […]
Associations Among Digital Health Literacy, Lifestyle Factors, and Cardiovascular Health in Black and Hispanic Communities: Cross-Sectional Study
Background: Black and Hispanic adults in the United States face a disproportionately high burden of cardiovascular disease (CVD). Digital health literacy (DHL) may influence CVD prevention and management, yet its role in these populations is not well understood. Objective: To examine associations between DHL and cardiovascular-related lifestyle behaviors, CVD, and CVD risk factors among Black […]
Exploring the Motivations and the Concerns Behind Self-Managed Medication Abortion Done by Purchasing Medication Online: Qualitative Interview Study With US Abortion Seekers Post-Roe
Background: As restrictive abortion laws continue to emerge in various states of the United States, pregnant individuals are turning to alternative channels to seek abortion medication, one of which is engaging in self-managed medication abortion, outsourcing the medicines from online websites without any medical prescriptions. Objective: This study explores the phenomenon of self-managed abortion outsourcing […]
The Effects of Teleinterventions on Pediatric Weight Control: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Background: Childhood overweight or obesity has become one of the world’s most concerning health problems. Tele-interventions that deliver health information and behavioral strategies through telephone, websites, apps, newsletters, or email to managing children’s weight-related conditions. Objective: To systematically evaluate tele-intervention versus non-tele-intervention effects on anthropometric outcomes in children with overweight or obesity. Methods: Randomized controlled […]
Impact of Youth Community Health Volunteers on Community Health Screening Program Outcomes for Older Adults: Mixed Methods Evaluation Study
Background: Community health screening programs frequently report inconsistent follow-up rates and barriers to sustained lifestyle changes. HealthStart is a Self-Determination Theory (SDT)-based intervention that aims to increase the autonomy and competence of participants via volunteer engagement, health and digital coaching, and post-health screening follow-up. Youth Community Health Volunteers (YCHVs) were taught principles of motivational interviewing, […]