Health Policy

HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression.

INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and acceptable to users. However, to date, the efficacy of such technologies to improve perinatal mental health outcomes has been mixed. Within the perinatal context, much of this work has been done in the contex...

Post-secondary student adoption of mental health labels through their use of social media: a scoping review.

BACKGROUND: Social media is a significant source of information for post-secondary students, who are usually at the age at which many common mental disorders first express themselves. Social media can have a role in the way post-secondary students identify and act on mental health issues. OBJECTIVES: Explore how the use of social media influences post-secondary students' adoption of mental health ...

Applying biotechnology to overcome cancer drug resistance and improve public health outcomes.

This review examines how biotechnology advances (CRISPR/Cas9, next-generation targeted therapies, nanotechnology-based drug delivery, and immunotherap...

Predicting non-emergency healthcare use in Australia using machine learning on longitudinal household data.

The persistent increase in healthcare expenditure has become a major challenge for the sustainability of public financing worldwide. Therefore, identi...

MedQA-MA: A Moroccan Arabic medical question-answering dataset for virtual healthcare assistants and large language models.

The healthcare domain constitutes a fundamental pillar of national development, as maintaining population health not only enhances citizens' quality o...

Global priorities for advancing cancer survivorship.

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains in...

A qualitative study assessing the acceptability of a multi-agent AI Chatbot for providing HIV and mental health support among men who have sex with men and transgender women in KwaZulu-Natal, South Africa.

BACKGROUND: Transgender women (TGW) and men who have sex with men (MSM) are disproportionately affected by human immunodeficiency virus (HIV) and ment...

Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables.

BACKGROUND: Despite progress in childhood vaccination, many children in low- and middle-income countries, including Ethiopia, remain unvaccinated, pre...

Data pipeline quality: development and validation of a quality assessment tool for data-driven algorithms and artificial intelligence in healthcare.

OBJECTIVES: To develop and validate a tool for standardised quality assessment of data-driven algorithms in healthcare, focusing on the underlying dat...

Electronic health record use in physiotherapy: adoption, perceived relevance and utilisation patterns-a cross-sectional study.

OBJECTIVES: This study aims to assess electronic health record (EHR) use in physiotherapy, identify factors influencing its adoption and evaluate phys...

Enterprise-wide simultaneous deployment of ambient scribe technology: lessons learned from an academic health system.

OBJECTIVES: To report on the feasibility of a simultaneous, enterprise-wide deployment of EHR-integrated ambient scribe technology across a large acad...

Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale.

OBJECTIVE: To develop the first comprehensive, standardized annotated corpus of Chinese online health information (OHI) using the full 16-item DISCERN...

Students Are Ready for AI-But Is Medical Education?

BACKGROUND: Artificial Intelligence (AI) is increasingly relevant to medical training, yet formal AI instruction remains limited. This study examined ...

Event-triggered decentralized adaptive critic learning control for interconnected systems with nonlinear inequality state constraints.

In this paper, an event-triggered decentralized adaptive critic learning (ACL) control method is proposed for interconnected systems with nonlinear in...

Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.

BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap...

Changing the container closure system of lyophilized products: Real or perceived risk to process efficiency and product quality?

The container-closure system (CCS), specifically the glass vial, plays a pivotal role in heat transfer during lyophilization, thereby influencing proc...

Synthetic data in the clinical laboratory: methods, applications, and future prospects.

Clinical laboratories face stringent privacy constraints, limited datasets for rare conditions, and rising demands to validate AI algorithms and workf...

Descriptive content analysis assessment of ChatGPT responses to substance use disorder treatment questions compared to National health guidelines.

BACKGROUND: Artificial intelligence (AI)-powered large language models like ChatGPT are increasingly used by the public to access health information. ...

Outcome Prediction in Pediatric Traumatic Brain Injury Utilizing Social Determinants of Health and Machine Learning Methods.

BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to an...

End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study.

BACKGROUND: Electrocardiogram (ECG) data constitutes one of the most widely available biosignal data in clinical and research settings, providing crit...