Health Policy

Using Natural Language Prompts With AI Models for Low-Cost Assistive Software Design: Exploratory Comparative Evaluation.

BACKGROUND: This study investigates the capacity of 7 artificial intelligence (AI) models, 5 free and 2 paid, to generate functional software for designing low-cost, personalized assistive products. OBJECTIVE: The objective was to determine which models are most effective, accessible, and consistent in supporting nontechnical professionals in developing inclusive digital solutions and to assess th...

Machine learning modelling of a nonlinear environmental index with sensitivity analysis for groundwater assessment.

The aim of this study was to evaluate groundwater quality the Marvdasht aquifer using the Groundwater Quality Index (GWQI), which was determined using a conventional method and also predicted using three machine learning algorithms: Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest (RF). For this purpose, groundwater quality parameters (pH, EC, TDS, TH, Na⁺, Ca2⁺, Mg2...

The Challenges of Web Scraping and AI for Research Ethics in Canada: A Survey of University REBs.

With the increasing popularity of AI, it is critical to gain an understanding of how academic research ethics are impacted. Unfortunately, in Canada, ...

Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved Communities.

Access to quality healthcare remains a persistent challenge in many low- and middle-income countries, especially for rural and underserved populations...

Development and validation of an interpretable prediction model for the risk of unplanned reoperation in patients underwent intracranial tumor surgery.

Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare systems worldwide, and unplanned reoperations followi...

A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering.

Predictive maintenance (PdM) has seen significant advances through machine learning, yet its practical deployment remains challenged by data scarcity,...

Population-Level Digital Stroke Surveillance: Building a Fair and Accurate ICD-10 Detection Model.

Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for clinical care, quality assurance, and stroke resea...

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

The United States health insurance system is at a critical crossroads. Inflating costs, fragmented care, and administrative inefficiencies have reveal...

HealthData@MAD-R&I: Protocol for Design and Development of a Regional Health Data Infrastructure to Enable Secondary Use of Health Data in Research and Innovation.

BACKGROUND: The exponential growth of electronic health records (EHRs), together with the recent entry into force of the European Health Data Space (E...

Characterizing patients who benefit from mature medical AI models in real-world clinical applications.

Medical artificial intelligence (AI) is being rapidly deployed in clinical practice, yet its real-world effectiveness across diverse patient populatio...

A review of machine learning applications in the prediction of selected groundwater quality parameters: Key lessons, knowledge gaps, and future directions.

Rigorous prediction and assessment of groundwater quality is a critical component of sustainable water resource management. In recent years, machine l...

Machine Learning Potentials for Inorganic and Hybrid Lead Halide Perovskites: From Phase Stability to Defects and Interfaces.

Inorganic and hybrid lead halide perovskites are among the most promising candidates for next-generation optoelectronic devices. However, their furthe...

Evolution of artificial intelligence at Hospital Italiano de Buenos Aires: A retrospective review of experience and lessons learned.

BACKGROUND: Hospital Italiano de Buenos Aires (HIBA) has progressively integrated artificial intelligence (AI) technologies into clinical practice ove...

Mapping the evidence on environmental health services in healthcare facilities in low- and middle-income countries: A systematic literature inventory of over 4,000 studies.

BACKGROUND: Environmental health services in healthcare facilities-including water, sanitation, hygiene, waste management, cleaning, and infection con...

Ensuring the integrity of AI models: a blockchain-based approach for protecting medical imaging training data.

The development of trustworthy AI models is crucial, particularly for critical medical applications such as brain tumor detection using MRI images. Ho...

Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents.

Recent advancements in artificial intelligence (AI) and digital health messaging present opportunities to bridge service health gaps in underserved co...

Trust, truth and transparency: analysing the references underpinning AI-generated surgical information.

INTRODUCTION: Artificial intelligence (AI) chatbots, powered by large language models, are used increasingly for disseminating surgical information, b...

Machine Learning for Predicting Colorectal Cancer-Specific Mortality: The Role of Socioeconomic Inequalities in Public Policy.

BACKGROUND: Colorectal cancer remains a leading cause of mortality worldwide. We investigated whether adding socioeconomic information to machine lear...

Financial Burden in Adults With Chronic Illness in Switzerland: A Secondary Analysis of Qualitative Interviews Using Natural Language Processing and Topic Modeling.

BACKGROUND: Chronic illness may cause a financial burden that affects patients, their caregivers, and families. While international research, mostly f...

Telehealth Approaches for Pediatric Otitis Media and Clinical Outcomes: Scoping Review.

BACKGROUND: Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, w...