Health Policy

Cost-effectiveness of novel diagnostic tools for idiopathic pulmonary fibrosis in the United States.

OBJECTIVES: Novel non-invasive machine learning algorithms may improve accuracy and reduce the need ...

Sixth wave of global public health progress.

The "Sixth Wave of Global Public Health Progress" concept introduces a transformative approach to ad...

How to leverage large language models for automatic ICD coding.

ICD coding, which involves assigning appropriate ICD codes to clinical notes, is essential for healt...

Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India.

The main objective of this study is to predict and monitor groundwater quality through the use of mo...

Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models.

BACKGROUND: Access to patient-centered health information is essential for informed decision-making....

Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review.

Electronic health records (EHR) have revolutionized cardiovascular disease (CVD) research by enablin...

Association between muscle mass assessed by an artificial intelligence-based ultrasound imaging system and quality of life in patients with cancer-related malnutrition.

INTRODUCTION: Emerging evidence suggests that diminished skeletal muscle mass is associated with low...

Super-resolution deep learning reconstruction for improved quality of myocardial CT late enhancement.

PURPOSE: Myocardial computed tomography (CT) late enhancement (LE) allows assessment of myocardial s...

Harmonizing foundation models in healthcare: A comprehensive survey of their roles, relationships, and impact in artificial intelligence's advancing terrain.

The lightning development of artificial intelligence (AI) has revolutionized healthcare, helping sig...

Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways.

This study examines the imperative to align artificial general intelligence (AGI) development with s...

Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models.

BACKGROUND: Rapid integration of large language models (LLMs) in health care is sparking global disc...

Forecasting trends of rising emergency department chest imaging using machine learning.

INTRODUCTION: Imaging studies in the acute care setting, such as the emergency room, have been incre...

CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

PURPOSE: This is a preliminary analysis of one of the secondary endpoints in the prospective study c...

Outcomes of lateral femoral cutaneous nerve decompression surgery in meralgia paraesthetica: assessment of pain, sensory deficits, and quality of life.

PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LF...

Economics of AI and human task sharing for decision making in screening mammography.

The rising global incidence of breast cancer and the persistent shortage of specialized radiologists...

RSM and AI based machine learning for quality by design development of rivaroxaban push-pull osmotic tablets and its PBPK modeling.

The study is based on applying Artificial Neural Network (ANN) based machine learning and Response S...

Research on the development of image-based Deep Learning (DL) model for serum quality recognition.

Development of a natural language processing algorithm to extract social determinants of health from clinician notes.

Disparities in access to the organ transplant waitlist are well-documented, but research into modifi...

AI integrations with lung cancer screening: Considerations in developing AI in a public health setting.

Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-expo...

Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era.

Health communication and promotion on the internet have evolved over time, driven by the development...

Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study.

BACKGROUND: Data on the social determinants of health could be used to improve care, support quality...