Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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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 grea...

ChatGPT as a patient education tool in colorectal cancer-An in-depth assessment of efficacy, quality and readability.

AIM: Artificial intelligence (AI) chatbots such as Chat Generative Pretrained Transformer-4 (ChatGPT...

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 ...

Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports.

OBJECTIVE: Participation in the Vascular Quality Initiative (VQI) provides important resources to su...

Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Large language models (LLMs) are generative artificial intelligence models that create content on th...

A quality assessment tool for focused abdominal sonography for trauma examinations using artificial intelligence.

BACKGROUND: Current tools to review focused abdominal sonography for trauma (FAST) images for qualit...

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 medi...

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 diseas...

Neurocontrol for fixed-length trajectories in environments with soft barriers.

In this paper we present three neurocontrol problems where the analytic policy gradient via back-pro...

A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications.

Collaborative intelligence (CI) involves human-machine interactions and is deemed safety-critical be...

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

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze,...

Integrating traditional QSAR and read-across-based regression models for predicting potential anti-leishmanial azole compounds.

Leishmaniasis, a neglected tropical disease caused by various Leishmania species, poses a significan...

Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study.

BACKGROUND: Skin cancer is a prevalent and clinically significant condition, with early and accurate...

Enhancing thin slice 3D T2-weighted prostate MRI with super-resolution deep learning reconstruction: Impact on image quality and PI-RADS assessment.

PURPOSES: This study aimed to assess the effectiveness of Super-Resolution Deep Learning Reconstruct...

QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...

Artificial Intelligence in Medicine: Are We Ready?

In spite of my personal belief in the benefits of artificial intelligence (AI), reading Cathy O'Neil...

Enhancing Thyroid Pathology With Artificial Intelligence: Automated Data Extraction From Electronic Health Reports Using RUBY.

PURPOSE: Thyroid nodules are common in the general population, and assessing their malignancy risk i...

TELEPROM Psoriasis: Enhancing patient-centered care and health-related quality of life (HRQoL) in moderate-to-severe plaque psoriasis.

BACKGROUND AND PURPOSE: Psoriasis is a chronic, immune-mediated inflammatory skin disease that signi...

Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study.

OBJECTIVE: The objective of this study is to create predictive models utilizing machine learning alg...

AI-enabled clinical decision support tools for mental healthcare: A product review.

The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decisi...

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