Public Health & Policy

Clinical Trials

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

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Showing 2437-2457 of 4,487 articles
Effectiveness of AI-driven interventions in glycemic control: A systematic review and meta-analysis of randomized controlled trials.

This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...

May 2025 40355304
A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System

Epilepsy is a prevalent neurological disease with millions of patients worldwide. Many patients ha...

Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs

Safety-critical applications such as healthcare and autonomous vehicles use deep neural networks (...

Virological and Pharmaceutical Properties of Clinically Relevant Phages.

As antimicrobial resistance continues to undermine the efficacy of antibiotics, the global medical c...

May 2025 40426553
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies

Extracting scientific evidence from biomedical studies for clinical research questions (e.g., Does...

AI-Driven Advances in Parkinson's Disease Neurosurgery: Enhancing Patient Selection, Trial Efficiency, and Therapeutic Outcomes.

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor and non-motor d...

May 2025 40426665
Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation.

BACKGROUND: For the public health community, monitoring recently published articles is crucial for s...

May 2025 40344669
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM

Vision Large Language Models (VLLMs) represent a significant advancement in artificial intelligenc...

The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Purpose: With advancements in Large Language Models (LLMs) for healthcare, the need arises for com...

Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning

Biologically-informed neural networks typically leverage pathway annotations to enhance performanc...

Unmasking the Canvas: A Dynamic Benchmark for Image Generation Jailbreaking and LLM Content Safety

Existing large language models (LLMs) are advancing rapidly and produce outstanding results in ima...

Data-Driven Falsification of Cyber-Physical Systems

Cyber-Physical Systems (CPS) are abundant in safety-critical domains such as healthcare, avionics,...

Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction.

Employee churn is a critical issue for companies and organizations, as it directly impacts productiv...

May 2025 40325106
Uncertainty Quantification for Machine Learning in Healthcare: A Survey

Uncertainty Quantification (UQ) is pivotal in enhancing the robustness, reliability, and interpret...

Closed-loop control of seizure activity via real-time seizure forecasting by reservoir neuromorphic computing

Closed-loop brain stimulation holds potential as personalized treatment for drug-resistant epileps...

LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load

Information on the web, such as scientific publications and Wikipedia, often surpasses users' read...

Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning

The widespread integration of face recognition technologies into various applications (e.g., acces...

Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions

A clustered adaptive intervention (cAI) is a pre-specified sequence of decision rules that guides ...

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development

As artificial intelligence systems grow more capable and autonomous, frontier AI development poses...

Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography.

Purpose To evaluate a sham-artificial intelligence (AI) model acting as a placebo control for a stan...

May 2025 40105449
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