Public Health & Policy

Health Policy

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

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Showing 1975-1995 of 3,511 articles
The Reliability of LLMs for Medical Diagnosis: An Examination of Consistency, Manipulation, and Contextual Awareness

Universal healthcare access is critically needed, especially in resource-limited settings. Large L...

Behavior Preference Regression for Offline Reinforcement Learning

Offline reinforcement learning (RL) methods aim to learn optimal policies with access only to traj...

Revolutionizing Healthcare Record Management: Secure Documentation Storage and Access through Advanced Blockchain Solutions

Integrating blockchain technology into healthcare systems presents a transformative approach to do...

Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective

Meta-learning has been proposed as a promising machine learning topic in recent years, with import...

Exploring Health Sciences Students' Perspectives on Using Generative Artificial Intelligence in Higher Education: A Qualitative Study.

The widespread adoption of artificial intelligence (AI) tools in academic settings has the potential...

Mar 2025 39797529
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control

Practical control systems pose significant challenges in identifying optimal control policies due ...

Metadata-driven Table Union Search: Leveraging Semantics for Restricted Access Data Integration

Over the past decade, the Table Union Search (TUS) task has aimed to identify unionable tables wit...

Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.

In the current paper, we will focus on requirements to ensure big data can advance the outcomes of o...

Feb 2025 39572076
Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention

Omnidirectional image, also called 360-degree image, is able to capture the entire 360-degree scen...

HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers

Low-cost accelerometers play a crucial role in modern society due to their advantages of small siz...

Vision Language Models in Medicine

With the advent of Vision-Language Models (VLMs), medical artificial intelligence (AI) has experie...

Large Language Models are Powerful Electronic Health Record Encoders

Electronic Health Records (EHRs) offer considerable potential for clinical prediction, but their c...

Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models

We investigate an emerging setup in which a small, on-device language model (LM) with access to lo...

"Kya family planning after marriage hoti hai?": Integrating Cultural Sensitivity in an LLM Chatbot for Reproductive Health

Access to sexual and reproductive health information remains a challenge in many communities globa...

P2W: From Power Traces to Weights Matrix -- An Unconventional Transfer Learning Approach

The rapid growth of deploying machine learning (ML) models within embedded systems on a chip (SoCs...

Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model

The complexity of scenes and variations in image quality result in significant variability in the ...

A Visual Approach for Health Information Exploration: Adaptive Levels of Visual Granularity and Interaction Analysis

The effective and targeted provision of health information to consumers, specifically tailored to ...

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport

Diffusion policies have shown promise in learning complex behaviors from demonstrations, particula...

Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum

Autonomous robotic wiping is an important task in various industries, ranging from industrial manu...

Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data

Problem: How can we design patient cost prediction models that effectively address the challenges ...

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