Public Health & Policy

Health Policy

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

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Constrained Group Relative Policy Optimization

While Group Relative Policy Optimization (GRPO) has emerged as a scalable framework for critic-free ...

Know Your Scientist: KYC as Biosecurity Infrastructure

Biological AI tools for protein design and structure prediction are advancing rapidly, creating dual...

Constrained Group Relative Policy Optimization

While Group Relative Policy Optimization (GRPO) has emerged as a scalable framework for critic-free ...

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology

Objective To characterize the clinical and administrative concerns communicated through secure ophth...

ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images

Generative text-to-image models are advancing at an unprecedented pace, continuously shifting the pe...

Real-World Applications of AI in LTE and 5G-NR Network Infrastructure

Telecommunications networks generate extensive performance and environmental telemetry, yet most LTE...

Efficient Cross-Country Data Acquisition Strategy for ADAS via Street-View Imagery

Deploying ADAS and ADS across countries remains challenging due to differences in legislation, traff...

Generation of Synthetic Data in Health Surveys Using Large Language Models

Background: Generating synthetic data using artificial intelligence, such as large language models (...

Q-Hawkeye: Reliable Visual Policy Optimization for Image Quality Assessment

Image Quality Assessment (IQA) predicts perceptual quality scores consistent with human judgments. R...

Privacy-Preserving Sensor-Based Human Activity Recognition for Low-Resource Healthcare Using Classical Machine Learning

Limited access to medical infrastructure forces elderly and vulnerable patients to rely on home-base...

Persistent Proxy Discrimination in HIV Testing Prediction Models: A National Fairness Audit of 386,775 US Adults

Background: Human immunodeficiency virus (HIV) disproportionately affects marginalized communities i...

HERS: Hidden-Pattern Expert Learning for Risk-Specific Vehicle Damage Adaptation in Diffusion Models

Recent advances in text-to-image (T2I) diffusion models have enabled increasingly realistic synthesi...

Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling

Many reinforcement learning (RL) problems admit multiple terminal solutions of comparable quality, w...

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning

Large Language Models (LLMs) can be fine-tuned on domain-specific data to enhance their performance ...

Establishing dermatopathology encyclopedia DermpathNet with Artificial Intelligence-Based Workflow

Accessing high-quality, open-access dermatopathology image datasets for learning and cross-referenci...

GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health

Nutritional interventions are important for managing chronic health conditions, but current computat...

Health-SCORE: Towards Scalable Rubrics for Improving Health-LLMs

Rubrics are essential for evaluating open-ended LLM responses, especially in safety-critical domains...

Predicting Healthcare System Visitation Flow by Integrating Hospital Attributes and Population Socioeconomics with Human Mobility Data

Healthcare visitation patterns are influenced by a complex interplay of hospital attributes, populat...

AlignInsight: A Three-Layer Framework for Detecting Deceptive Alignment and Evaluation Awareness in Healthcare AI Systems

Importance: Emerging evidence suggests healthcare AI systems may exhibit deceptive alignment (appear...

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