Health Policy

Artificial intelligence in respiratory care.

The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased uti...

JURNI (Journeying with Patients' Understanding and Responding to Needs Interactively): An In-Hospital Navigation Application for Timely Diagnosis and Treatment of Breast Cancer at the University Malaya Medical Centre.

One of the main challenges in breast cancer management is health system literacy to provide optimal and timely diagnosis and treatments within complex and multidisciplinary health system environments. Digitalised patient navigation programs have been developed and found to be helpful in high- and low-resource settings, but gaps remain in finding cost-effective navigation in the public sector in Ma...

The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare.

INTRODUCTION: As artificial intelligence (AI) continues to permeate various sectors, concerns about disparities arising from its deployment have surfa...

Reproducibility and quality of hypertrophy-related training plans generated by GPT-4 and Google Gemini as evaluated by coaching experts.

Large Language Models (LLMs) are increasingly utilized in various domains, including the generation of training plans. However, the reproducibility an...

OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization.

BACKGROUND: Clinical Language Models (CLMs) possess the potential to reform traditional healthcare systems by aiding in clinical decision making and o...

Synthetic data generation in healthcare: A scoping review of reviews on domains, motivations, and future applications.

BACKGROUND: The development of Artificial Intelligence in the healthcare sector is generating a great impact. However, one of the primary challenges f...

Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model.

In an effort to increase access to neuroscience education in underserved communities, we created an educational program that utilizes a simple task to...

The critical need for an open medical imaging database in Japan: implications for global health and AI development.

Japan leads OECD countries in medical imaging technology deployment but lacks open, large-scale medical imaging databases crucial for AI development. ...

Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management.

One of the health challenges in the 21st century is to rethink approaches to non-communicable disease prevention. A solution is a smart city that impl...

Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze, and categorize legally-enforceable policies. The ...

Artificial Intelligence in Medicine: Are We Ready?

In spite of my personal belief in the benefits of artificial intelligence (AI), reading Cathy O'Neil's book "Weapons of Math Destruction" left me feel...

Computers and chess masters: The role of AI in transforming elite human performance.

Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. T...

Securing healthcare medical image information using advance morphological component analysis, information hiding systems, and hybrid convolutional neural networks on IoMT.

Health care images contain a variety of imaging information that has specific features, which can make it challenging to assess and decide on the meth...

Editorial Commentary: Anterior Cruciate Ligament Patients Must Be Provided With Both Motivation and Tools to Continue Physical Therapy, Supervised or Independently, Beyond the Early Recovery Phase.

Given the current American health insurance environment, many patients do not access physical therapy in the mid and later stages of recovery from ant...

Artificial Intelligence-driven and technological innovations in the diagnosis and management of substance use disorders.

Substance Use Disorders (SUD) lead to a collection of health challenges such as overdoses and clinical diseases. Populations that are vulnerable and l...

Knowing when digital adds value to health: a framework for the economic evaluation of digital health interventions.

UNLABELLED: Digital health interventions (DHIs) hold significant promise for addressing health system challenges and the 'DHI pilot' is ubiquitous in ...

Advances in artificial intelligence-based technologies for increasing the quality of medical products.

Artificial intelligence (AI) is a technology that combines machine learning (ML) and deep learning. It has numerous usages in the domains of medicine ...

Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine.

BACKGROUND: Health data comprise data from different aspects of healthcare including administrative, digital health, and research-oriented data. Toget...

Active Inference and Deep Generative Modeling for Cognitive Ultrasound.

Ultrasound (US) has the unique potential to offer access to medical imaging to anyone, everywhere. Devices have become ultraportable and cost-effectiv...

AI-assisted patient education: Challenges and solutions in pediatric kidney transplantation.

We are writing in response to the recent publication on the use of artificial intelligence, particularly ChatGPT, in generating educational materials ...