Public Health & Policy

Health Policy

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

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VIVECaption: A Split Approach to Caption Quality Improvement

Caption quality has emerged as a critical bottleneck in training high-quality text-to-image (T2I) an...

Technical Report: Automated Optical Inspection of Surgical Instruments

In the dynamic landscape of modern healthcare, maintaining the highest standards in surgical instrum...

Sex-stratified Integrated Analysis of US lung Cancer Mortality, 1994-2020

Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, y...

Learning Optimal Individualized Decision Rules with Conditional Demographic Parity

Individualized decision rules (IDRs) have become increasingly prevalent in societal applications suc...

QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment

No-Reference Point Cloud Quality Assessment (NR-PCQA) still struggles with generalization, primarily...

AI-Generated Responses to Patient's Messages: Effectiveness, Feasibility and Implementation

Background Generative artificial intelligence (GenAI) in healthcare may reduce administrative burden...

Diffusion Probe: Generated Image Result Prediction Using CNN Probes

Text-to-image (T2I) diffusion models lack an efficient mechanism for early quality assessment, leadi...

Evaluating the AI Potential as a Safety Net for Diagnosis: A Novel Benchmark of Large Language Models in Correcting Diagnostic Errors

Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...

Impact of an ambient digital scribe on typing and note quality: the AutoscriberValidate study

Background: Typing in the electronic health record (EHR) takes up healthcare providers' time and cog...

Seeing Through Words: Controlling Visual Retrieval Quality with Language Models

Text-to-image retrieval is a fundamental task in vision-language learning, yet in real-world scenari...

Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark

Agentic AI systems are increasingly capable of autonomous data science workflows, yet clinical predi...

High-Performance Classification of Mpox Symptoms Using Support Vector Classifier and Quadratic Discriminant Analysis

Background: Recent global outbreaks of Mpox have posed significant diagnostic challenges, particular...

Image Quality Assessment: Exploring Quality Awareness via Memory-driven Distortion Patterns Matching

Existing full-reference image quality assessment (FR-IQA) methods achieve high-precision evaluation ...

Disparities, Perceived Discrimination, and Patient-Clinician Communication in Alcohol Use Disorder Treatment: An All of Us Cohort Study

Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persiste...

Near-Optimal Sample Complexity for Online Constrained MDPs

Safety is a fundamental challenge in reinforcement learning (RL), particularly in real-world applica...

Extending Multi-Source Bayesian Optimization With Causality Principles

Multi-Source Bayesian Optimization (MSBO) serves as a variant of the traditional Bayesian Optimizati...

AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction

Regulatory agencies require comprehensive genotoxicity assessments for all novel small-molecule ther...

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