State Required CME

Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

5,107 articles
Stay Ahead - Weekly Prevention of medical errors research updates
Subscribe
Browse Categories
Showing 1408-1428 of 5,107 articles
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models

Despite recent advancements in federated learning (FL), the integration of generative models into ...

Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency

Federated Learning (FL) enables collaborative learning across distributed clients while preserving...

Capture Global Feature Statistics for One-Shot Federated Learning

Traditional Federated Learning (FL) necessitates numerous rounds of communication between the serv...

Se-HiLo: Noise-Resilient Semantic Communication with High-and-Low Frequency Decomposition

Semantic communication has emerged as a transformative paradigm in next-generation communication s...

Visual Embedding of Screen Sequences for User-Flow Search in Example-driven Communication

Effective communication of UX considerations to stakeholders (e.g., designers and developers) is a...

Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review

Context: A deeper understanding of human factors in software engineering (SE) is essential for imp...

RiLoCo: An ISAC-oriented AI Solution to Build RIS-empowered Networks

The advance towards 6G networks comes with the promise of unprecedented performance in sensing and...

A semi-supervised learning approach to classify drug attributes in a pharmacy management database: A STROBE-compliant study.

With the development of information and communication technology, it has become possible to improve ...

Mar 2025 40068067
3HANDS Dataset: Learning from Humans for Generating Naturalistic Handovers with Supernumerary Robotic Limbs

Supernumerary robotic limbs (SRLs) are robotic structures integrated closely with the user's body,...

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning

Federated Learning (FL) presents a promising avenue for collaborative model training among medical...

CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization

Multi-agent collaborative perception enhances perceptual capabilities by utilizing information fro...

Designing VR Simulation System for Clinical Communication Training with LLMs-Based Embodied Conversational Agents

VR simulation in Health Professions (HP) education demonstrates huge potential, but fixed learning...

AI meets informed consent: a new era for clinical trial communication.

Clinical trials are fundamental to evidence-based medicine, providing patients with access to novel ...

Mar 2025 40104849
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging

Mass casualty incidents (MCIs) are a growing concern, characterized by complexity and uncertainty ...

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education

Medical education faces challenges in scalability, accessibility, and consistency, particularly in...

Generative Versus Nongenerative Artificial Intelligence.

Artificial intelligence (AI) is a colossal buzzword, a confusing subject matter, but also an inevita...

Mar 2025 39929595
Foundation Models -- A Panacea for Artificial Intelligence in Pathology?

The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncov...

Transforming Tuberculosis Care: Optimizing Large Language Models For Enhanced Clinician-Patient Communication

Tuberculosis (TB) is the leading cause of death from an infectious disease globally, with the high...

M^3Builder: A Multi-Agent System for Automated Machine Learning in Medical Imaging

Agentic AI systems have gained significant attention for their ability to autonomously perform com...

Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts

Mixture-of-experts (MoE) has been extensively employed to scale large language models to trillion-...

Lightweight Vision Model-based Multi-user Semantic Communication Systems

Semantic Communication (SemCom) is a promising new paradigm for next-generation communication syst...

Browse Categories