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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 1870-1890 of 5,424 articles
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication

This paper investigates the adversarial robustness of Deep Neural Networks (DNNs) using Informatio...

Virtual Reflections on a Dynamic 2D Eye Model Improve Spatial Reference Identification

The visible orientation of human eyes creates some transparency about people's spatial attention a...

A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications

Background. Federated learning (FL) has gained wide popularity as a collaborative learning paradig...

H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications

The proliferation of Internet of Things (IoT) has increased interest in federated learning (FL) fo...

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Pilot-guided Multimodal Semantic Communication for Audio-Visual Event Localization

Multimodal semantic communication, which integrates various data modalities such as text, images, ...

Vision Transformer-based Semantic Communications With Importance-Aware Quantization

Semantic communications provide significant performance gains over traditional communications by t...

One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models

The recent advancement of large foundation models (FMs) has increased the demand for fine-tuning t...

Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces

Over-the-air federated learning (OTA-FL) unifies communication and model aggregation by leveraging...

An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques

This paper introduces an innovative approach to Attention-deficit/hyperactivity disorder (ADHD) di...

Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data

Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system...

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Efficient Semantic Communication Through Transformer-Aided Compression

Transformers, known for their attention mechanisms, have proven highly effective in focusing on cr...

A Semantic Communication System for Real-time 3D Reconstruction Tasks

3D semantic maps have played an increasingly important role in high-precision robot localization a...

RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting

Precisely modeling radio propagation in complex environments has been a significant challenge, esp...

Adaptive Client Selection with Personalization for Communication Efficient Federated Learning

Federated Learning (FL) is a distributed approach to collaboratively training machine learning mod...

Staleness-Centric Optimizations for Parallel Diffusion MoE Inference

Mixture-of-Experts-based (MoE-based) diffusion models demonstrate remarkable scalability in high-f...

Advanced Plaque Modeling for Atherosclerosis Detection Using Molecular Communication

As one of the most prevalent diseases worldwide, plaque formation in human arteries, known as athe...

TwiNet: Connecting Real World Networks to their Digital Twins Through a Live Bidirectional Link

The wireless spectrum's increasing complexity poses challenges and opportunities, highlighting the...

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How Perception, Actuation, and Communication Impact the Emergence of Collective Intelligence in Simulated Modular Robots.

Modular robots are collections of simple embodied agents, the modules, that interact with each other...

Nov 2024 39151089
Harnessing Artificial Intelligence for the Detection and Management of Colorectal Cancer Treatment.

Currently, eight million people in the United States suffer from cancer and it is a major global hea...

(1)
Nov 2024 39077801
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