Public Health & Policy

Clinical Trials

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

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Showing 2479-2499 of 4,487 articles
Using Vision Language Models for Safety Hazard Identification in Construction

Safety hazard identification and prevention are the key elements of proactive safety management. P...

Building Proactive and Instant-Reactive Safety Designs to Address Harassment in Social Virtual Reality

Social Virtual Reality (VR) games offer immersive socialization experiences but pose significant c...

Challenges of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes...

Apr 2025 40200436
Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection

Robust low-rank approximation under row-wise adversarial corruption can be achieved with a single ...

UAC: Uncertainty-Aware Calibration of Neural Networks for Gesture Detection

Artificial intelligence has the potential to impact safety and efficiency in safety-critical domai...

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening

Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruit...

Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopes

Ensuring safety in cyber-physical systems (CPSs) is a critical challenge, especially when system m...

AI-Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference.

Artificial intelligence (AI) is driving innovation in clinical pharmacology and translational scienc...

Apr 2025 40214191
Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal.

BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-t...

Apr 2025 40260959
Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning

Lung cancer is the primary cause of cancer death globally, with non-small cell lung cancer (NSCLC)...

Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy

Purpose: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure ti...

An Efficient Training Algorithm for Models with Block-wise Sparsity

Large-scale machine learning (ML) models are increasingly being used in critical domains like educ...

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics

Ensuring the reliability and effectiveness of software release decisions is critical, particularly...

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning

Autonomous agents powered by foundation models have seen widespread adoption across various real-w...

Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy

Despite the remarkable versatility of Large Language Models (LLMs) and Multimodal LLMs (MLLMs) to ...

The Role of Computational Modeling in Enhancing Thermal Safety During Cardiac Ablation

Objective: In this review, we aim to provide an analysis of current cardiac ablation techniques, s...

Identifying responders to gabapentin for the treatment of alcohol use disorder: an exploratory machine learning approach.

BACKGROUND: Gabapentin, an anticonvulsant medication, has been proposed as a treatment for alcohol u...

Mar 2025 40138385
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