Public Health & Policy

Health Policy

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

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Showing 1954-1974 of 3,511 articles
CoSTA$\ast$: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing

Text-to-image models like stable diffusion and DALLE-3 still struggle with multi-turn image editin...

An Architectural View Type for Elasticity Modeling and Simulation -- The Slingshot Approach

The cloud computing model enables the on-demand provisioning of computing resources, reducing manu...

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI

Navigation and manipulation in open-world environments remain unsolved challenges in the Embodied ...

Edge AI for Real-time Fetal Assessment in Rural Guatemala

Perinatal complications, defined as conditions that arise during pregnancy, childbirth, and the im...

Detecting and Preventing Data Poisoning Attacks on AI Models

This paper investigates the critical issue of data poisoning attacks on AI models, a growing conce...

IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond

Blind Face Restoration (BFR) addresses the challenge of reconstructing degraded low-quality (LQ) f...

Teaching LMMs for Image Quality Scoring and Interpreting

Image quality scoring and interpreting are two fundamental components of Image Quality Assessment ...

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

As recent text-conditioned diffusion models have enabled the generation of high-quality images, co...

U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion Transformers

Ultra-high quality artistic style transfer refers to repainting an ultra-high quality content imag...

An Empirical Comparison of Cost Functions in Inductive Logic Programming

Recent inductive logic programming (ILP) approaches learn optimal hypotheses. An optimal hypothesi...

SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video

Older people are susceptible to fall due to instability in posture and deteriorating health. Immed...

Multi Agent based Medical Assistant for Edge Devices

Large Action Models (LAMs) have revolutionized intelligent automation, but their application in he...

A Bridge to Nowhere: A Healthcare Case Study for Non-Reformist Design

In the face of intensified datafication and automation in public sector industries, frameworks lik...

Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction

Digitalization in the construction industry has become essential, enabling centralized, easy acces...

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification

Dementia, a neurological disorder impacting millions globally, presents significant challenges in ...

Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints

In this paper, we explore a novel image matting task aimed at achieving efficient inference under ...

The ethical considerations of integrating artificial intelligence into surgery: a review.

The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...

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A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness

Image quality plays an important role in the performance of deep neural networks (DNNs) and DNNs h...

Enabling the AI Revolution in Healthcare

The transformative potential of AI in healthcare - including better diagnostics, treatments, and e...

Large Language Models for Healthcare Text Classification: A Systematic Review

Large Language Models (LLMs) have fundamentally transformed approaches to Natural Language Process...

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