State Required CME

Prevention of medical errors

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

5,424 articles
Stay Ahead - Weekly Prevention of medical errors research updates
Subscribe
Browse Categories
Showing 1681-1701 of 5,424 articles
An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians.

Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma m...

May 2025 40341645
The analysis of international communication value assessment of Chinese mythology themed animated films in belt and road under BPNN algorithm.

Chinese mythology-themed animated films are critical carriers of cultural communication. With the pr...

May 2025 40341587
Distillation-Enabled Knowledge Alignment Protocol for Semantic Communication in AI Agent Networks

Future networks are envisioned to connect massive artificial intelligence (AI) agents, enabling th...

Coop-WD: Cooperative Perception with Weighting and Denoising for Robust V2V Communication

Cooperative perception, leveraging shared information from multiple vehicles via vehicle-to-vehicl...

(1)
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis

Explainable disease diagnosis, which leverages patient information (e.g., signs and symptoms) and ...

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...

(1)
May 2025 40371632
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...

(2)
Browse Categories