Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Ocrelizumab versus Natalizumab in Relapsing-Remitting Multiple Sclerosis: A Registry-Linked Electronic Health Records Study

Ocrelizumab and natalizumab are commonly prescribed high-effectiveness disease-modifying therapies (...

Implementation of an Opioid Use Disorder (OUD) Machine-Learning Phenotype in Real-Time for the ADAPT Project

Develop and deploy a real-time, EHR-integrated machine learning phenotype to identify emergency depa...

Leveraging big data in health care and public health for AI driven talent development in rural areas.

INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction an...

Jan 2025 40469603
Leveraging Generative AI for Drug Safety and Pharmacovigilance.

Predictions are made by artificial intelligence, especially through machine learning, which uses alg...

Jan 2025 39238375
Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression.

Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) prog...

Jan 2025 39792014
[Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms].

In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial pr...

Jan 2025 39929624
Residual XGBoost regression-Based individual moving range control chart for Gross Domestic Product growth monitoring.

Accurate and reliable Gross Domestic Product (GDP) forecasting is indispensable for informed economi...

Jan 2025 40344025
MLLM-as-a-Judge for Image Safety without Human Labeling

Image content safety has become a significant challenge with the rise of visual media on online pl...

xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability

Reinforcement learning (RL) has shown great promise in simulated environments, such as games, wher...

[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

As artificial intelligence technology rapidly advances, its deployment within the medical sector pre...

Dec 2024 39780570
Deliberative Alignment: Reasoning Enables Safer Language Models

As large-scale language models increasingly impact safety-critical domains, ensuring their reliabl...

SafeCFG: Redirecting Harmful Classifier-Free Guidance for Safe Generation

Diffusion models (DMs) have demonstrated exceptional performance in text-to-image (T2I) tasks, lea...

Mobilizing Waldo: Evaluating Multimodal AI for Public Mobilization

Advancements in multimodal Large Language Models (LLMs), such as OpenAI's GPT-4o, offer significan...

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation

The capabilities of recent large language models (LLMs) to generate high-quality content indisting...

SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation

Text-to-image (T2I) models have become widespread, but their limited safety guardrails expose end ...

Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons

Cycling is critical for cities to transition to more sustainable transport modes. Yet, safety conc...

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