Health Policy

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.

BACKGROUND: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly tra...

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review.

BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer in...

Smart insurance analytics: A novel ensemble feature selection approach to unlock health insurance coverage predictions in Sierra Leone.

BACKGROUND: Predicting health insurance uptake remains a critical challenge for policymakers and ins...

Gender-based data bias and model fairness evaluation in benchmarked open-access disease prediction datasets.

The widespread use of open-access datasets for validating machine learning (ML) models has raised cr...

Integrated Health Technologies in Heart Failure: A Scientific Statement From the Heart Failure Society of America and the American Association of Heart Failure Nurses.

Integrated health technologies (IHTs) have emerged as promising tools for improving heart failure (H...

Multi-objective machine learning framework for welfare-optimized health insurance design in infectious disease management (Gastroenteritis).

[Diagnosis and treatment of colorectal cancer in the era of artificial intelligence: review and prospect].

In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of m...

The OnSPARK LTC Data Platform: Leveraging interRAI to Build a Learning Health System for Long-Term Care.

Long-Term Care (LTC) in Canada faces persistent challenges in quality, staffing, and accountability....

An Artificial Intelligence-Driven Platform for Practice Question Generation.

PROBLEM: High-stakes licensing exams such as the USMLE play a critical role in medical education, in...

Multimodal Rehabilitation for Advanced Cancer Pain: a Narrative Review of Emerging Nonpharmacological Strategies.

PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitat...

Optimisation and Technological Advances in Cardiovascular Magnetic Resonance to improve Access and Screening.

Cardiovascular magnetic resonance (CMR) can comprehensively assess cardiac function and structure, w...

Derivation and validation of a clinical prediction score for ICU utilization at trauma intake.

BACKGROUND: Delayed admission to the intensive care unit (ICU) after trauma can lead to tripling of ...

Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies.

BACKGROUND: Health care artificial intelligence (AI) systems are increasingly integrated into clinic...

Are diagnostic technologies for alzheimer's disease and dementia cost-effective? A systematic review of economic evaluations.

BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden gl...

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

As artificial intelligence tools become increasingly integrated into emergency department workflows,...

The application of artificial intelligence in blind ultrasound sweep diagnostics for prenatal medicine: A systematic literature review.

INTRODUCTION: Obstetric ultrasound is fundamental in prenatal care for gestational age (GA) estimati...

Electric Vehicle Batteries Recycling: A Review.

The rapid growth of electric vehicles has created an urgent need for practical end-of-life lithium-i...

How do chronic diseases affect personal and household income? A double debiased machine learning analysis of the China health and retirement longitudinal study (CHARLS) in older adults.

OBJECTIVES: This study aimed to investigate the impacts of chronic diseases such as hypertension, dy...

A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health.

PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemi...

Deep Learning-Based Classification of Slit-Lamp Photograph Quality in Microbial Keratitis.

OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-inc...

Spatial and spatiotemporal pattern of stroke relative risk in Ghana using Bayesian modelling approach.

INTRODUCTION: Stroke ranks as the second-leading cause of death and third in combined death and disa...