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Prevention of medical errors

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

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Showing 1345-1365 of 5,107 articles
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks

Task-oriented semantic communication has emerged as a fundamental approach for enhancing performan...

MaskClip: Detachable Clip-on Piezoelectric Sensing of Mask Surface Vibrations for Real-time Noise-Robust Speech Input

Masks are essential in medical settings and during infectious outbreaks but significantly impair s...

NDDRF 2.0: An update and expansion of risk factor knowledge base for personalized prevention of neurodegenerative diseases.

INTRODUCTION: Neurodegenerative diseases (NDDs) are chronic diseases caused by brain neuron degenera...

May 2025 40371632
Short-Dipole Sensor Response Linearization Through Physics-Informed Neural Networks.

Short-dipole diode sensors loaded with highly resistive lines are commonly used to measure the time-...

May 2025 40401324
Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...

May 2025 40145661
Latent Feature-Guided Conditional Diffusion for High-Fidelity Generative Image Semantic Communication

Semantic communication is proposed and expected to improve the efficiency and effectiveness of mas...

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization

Federated domain generalization (FedDG) aims to learn a globally generalizable model from decentra...

E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization

Optical communication using modulated LEDs (e.g., visible light communication) is an emerging appl...

Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training

Following AI scaling trends, frontier models continue to grow in size and continue to be trained o...

Exhaled Breath Analysis Through the Lens of Molecular Communication: A Survey

Molecular Communication (MC) has long been envisioned to enable an Internet of Bio-Nano Things (Io...

Material Identification Via RFID For Smart Shopping

Cashierless stores rely on computer vision and RFID tags to associate shoppers with items, but con...

Can Knowledge Improve Security? A Coding-Enhanced Jamming Approach for Semantic Communication

As semantic communication (SemCom) attracts growing attention as a novel communication paradigm, e...

Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity

This paper introduces a novel federated learning framework termed LoRa-FL designed for training lo...

Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security

Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacit...

Robust Planning and Control of Omnidirectional MRAVs for Aerial Communications in Wireless Networks

A new class of Multi-Rotor Aerial Vehicles (MRAVs), known as omnidirectional MRAVs (o-MRAVs), has ...

FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning

Federated Graph Learning (FGL) is an emerging distributed learning paradigm that enables collabora...

LangCoop: Collaborative Driving with Language

Multi-agent collaboration holds great promise for enhancing the safety, reliability, and mobility ...

Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification

Federated Learning (FL) faces major challenges regarding communication overhead and model privacy ...

Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records

The ability to predict drug overdose risk from a patient's medical records is crucial for timely i...

A New Paradigm of User-Centric Wireless Communication Driven by Large Language Models

The next generation of wireless communications seeks to deeply integrate artificial intelligence (...

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