Public Health & Policy

Clinical Trials

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

4,491 articles
Stay Ahead - Weekly Clinical Trials research updates
Subscribe
Browse Categories
Showing 2836-2856 of 4,491 articles
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial

Dental disease is a prevalent chronic condition associated with substantial financial burden, pers...

Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks

Traffic roundabouts, as complex and critical road scenarios, pose significant safety challenges fo...

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

Medical vision-language models (Med-VLMs) trained on large datasets of medical image-text pairs an...

Precision on Demand: Propositional Logic for Event-Trigger Threshold Regulation

We introduce a novel event-trigger threshold (ETT) regulation mechanism based on the quantitative ...

HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation

Knowledge Graphs (KGs) serving as semantic networks, prove highly effective in managing complex in...

A Survey on Drowsiness Detection -- Modern Applications and Methods

Drowsiness detection holds paramount importance in ensuring safety in workplaces or behind the whe...

Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety.

Ensuring patient safety in healthcare involves training professionals and implementing clinical deci...

Aug 2024 39176608
Proposing an AI Passport as a Mitigating Action of Risk Associated to Artificial Intelligence in Healthcare.

The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offerin...

Aug 2024 39176800
MarQSim: Reconciling Determinism and Randomness in Compiler Optimization for Quantum Simulation

Quantum simulation, fundamental in quantum algorithm design, extends far beyond its foundational r...

The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models

Large language models (LLMs) are now being considered and even deployed for applications that supp...

Jailbreaking Text-to-Image Models with LLM-Based Agents

Recent advancements have significantly improved automated task-solving capabilities using autonomo...

Recording First-person Experiences to Build a New Type of Foundation Model

Foundation models have had a big impact in recent years and billions of dollars are being invested...

High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models

Ensuring fault tolerance of Highly Automated Vehicles (HAVs) is crucial for their safety due to th...

Comparing Artificial Intelligence-Based Versus Conventional Endotracheal Tube Monitoring Systems in Clinical Practice.

Endotracheal tube dislodgement is a common patient safety incident in clinical settings. Current cli...

Jul 2024 39049336
From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases

2023 was the year the world woke up to generative AI, and 2024 is the year policymakers are respon...

Towards Understanding Unsafe Video Generation

Video generation models (VGMs) have demonstrated the capability to synthesize high-quality output....

The Better Angels of Machine Personality: How Personality Relates to LLM Safety

Personality psychologists have analyzed the relationship between personality and safety behaviors ...

Almost-Linear Time Algorithms for Decremental Graphs: Min-Cost Flow and More via Duality

We give the first almost-linear total time algorithm for deciding if a flow of cost at most $F$ st...

Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey

Recently, the text-to-image diffusion model has gained considerable attention from the community d...

Browse Categories