Public Health & Policy

Health Policy

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

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Evaluating the quality and readability of ChatGPT-generated patient-facing medical information in rhinology.

PURPOSE: The artificial intelligence (AI) chatbot ChatGPT has become a major tool for generating res...

A unified deep-learning framework for enhanced patient-specific quality assurance of intensity-modulated radiation therapy plans.

BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...

SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator.

Self-report questionnaires play a crucial role in healthcare for assessing disease risks, yet their ...

A prospective study comparing highly qualified Molecular Tumor Boards with AI-powered software as a medical device.

BACKGROUND: The implementation of cancer precision medicine in Japan is deeply intertwined with insu...

Machine Learning for Predicting Zearalenone Contamination Levels in Pet Food.

Zearalenone (ZEN) has been detected in both pet food ingredients and final products, causing acute t...

Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.

Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and repro...

Artificial intelligence in respiratory care.

The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives...

Lightweight deep learning algorithm for real-time wheat flour quality detection via NIR spectroscopy.

Wheat flour quality, determined by factors such as protein and moisture content, is crucial in food ...

A Machine Learning Classification Model for Gastrointestinal Health in Cancer Survivors: Roles of Telomere Length and Social Determinants of Health.

BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors,...

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 ...

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 s...

Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM: Implications for Assessment of Health Impacts.

Growing wildfire smoke represents a substantial threat to air quality and human health. However, the...

Cost-effectiveness analysis of AI-based image quality control for perinatal ultrasound screening.

PURPOSE: This study aimed to compare the cost-effectiveness of AI-based approaches with manual appro...

Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings.

BACKGROUND: Deep learning (DL) often requires an image quality metric; however, widely used metrics ...

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