Public Health & Policy

Health Policy

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

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The integrated fuzzy AHP and fuzzy logic techniques for mapping and prioritizing groundwater potential zone based on water quality.

Groundwater, which is utilized to supply water demand in various sectors such as domestic water cons...

May 2025 40445266
Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption

The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare ...

Searching Neural Architectures for Sensor Nodes on IoT Gateways

This paper presents an automatic method for the design of Neural Networks (NNs) at the edge, enabl...

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models

Enhancing the reasoning capabilities of large language models effectively using reinforcement lear...

Energy-Efficient QoS-Aware Scheduling for S-NUCA Many-Cores

Optimizing performance and energy efficiency in many-core processors, especially within Non-Unifor...

Text2Grad: Reinforcement Learning from Natural Language Feedback

Traditional RLHF optimizes language models with coarse, scalar rewards that mask the fine-grained ...

Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations

Limited access to mental healthcare, extended wait times, and increasing capabilities of Large Lan...

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning

Text-to-multiview (T2MV) generation, which produces coherent multiview images from a single text p...

Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation

The detection of mental health problems from social media and the interpretation of these results ...

MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support

Timely and personalized treatment decisions are essential across a wide range of healthcare settin...

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality

This position paper argues that Mean Opinion Score (MOS), while historically foundational, is no l...

Evaluation of spatial visual perception of streets based on deep learning and spatial syntax.

Street visual quality improvement plays an important role in urban development. An important directi...

May 2025 40419619
RoofNet: A Global Multimodal Dataset for Roof Material Classification

Natural disasters are increasing in frequency and severity, causing hundreds of billions of dollar...

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas.

Groundwater drought, a prolonged period of abnormally low groundwater levels, poses a significant th...

May 2025 40250232
T2I-Eval-R1: Reinforcement Learning-Driven Reasoning for Interpretable Text-to-Image Evaluation

The rapid progress in diffusion-based text-to-image (T2I) generation has created an urgent need fo...

Artificial Intelligence Technologies for Nursing Development: A Review of the Current Literature.

Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing ...

May 2025 40405854
SONIC: Cost-Effective Web Access for Developing Countries

Over 2.6 billion people remain without access to the Internet in 2025. This phenomenon is especial...

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies

When applying offline reinforcement learning (RL) in healthcare scenarios, the out-of-distribution...

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering

While bariatric and metabolic surgery (MBS) is considered the gold standard treatment for severe a...

Privacy-Preserving Conformal Prediction Under Local Differential Privacy

Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of cont...

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs

Bias in Large Language Models (LLMs) significantly undermines their reliability and fairness. We f...

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