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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 1765-1785 of 5,424 articles
M4SC: An MLLM-based Multi-modal, Multi-task and Multi-user Semantic Communication System

Multi-modal Large Language Models (MLLMs) are capable of precisely extracting high-level semantic ...

Integrated Sensing and Communication for 6G Holographic Digital Twins

With the advent of 6G networks, offering ultra-high bandwidth and ultra-low latency, coupled with ...

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System Dynamics Modeling for Diabetes Treatment and Prevention Planning.

The increasing prevalence of preventable chronic disease in Canada poses significant challenges to b...

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Feb 2025 39968560
AquaScope: Reliable Underwater Image Transmission on Mobile Devices

Underwater communication is essential for both recreational and scientific activities, such as scu...

Semantic Learning for Molecular Communication in Internet of Bio-Nano Things

Molecular communication (MC) provides a foundational framework for information transmission in the...

Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation

The growing demand for efficient semantic communication systems capable of managing diverse tasks ...

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Learnable Residual-Based Latent Denoising in Semantic Communication

A latent denoising semantic communication (SemCom) framework is proposed for robust image transmis...

Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning

Accurate and efficient diagnosis in online medical consultations remains a challenge for current l...

BodySense: An Expandable and Wearable-Sized Wireless Evaluation Platform for Human Body Communication

Wearable, wirelessly connected sensors have become a common part of daily life and have the potent...

Enhancing SQL Injection Detection and Prevention Using Generative Models

SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, e...

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot

Retrieval-augmented generation (RAG) is a well-suited technique for retrieving privacy-sensitive E...

CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models

Deep learning models for medical image classification tasks are becoming widely implemented in AI-...

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction

Low-rank tensor estimation offers a powerful approach to addressing high-dimensional data challeng...

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Firewalls to Secure Dynamic LLM Agentic Networks

LLM agents will likely communicate on behalf of users with other entity-representing agents on tas...

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Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization

As digital technologies advance, communication networks face challenges in handling the vast data ...

Digital Twinning of Interorgan Communications.

Recent advances in our ability to collect and process information, particularly through artificial i...

Feb 2025 39924710
A Communication Framework for Compositional Generation

Compositionality and compositional generalization--the ability to understand novel combinations of...

GRACE: Generalizing Robot-Assisted Caregiving with User Functionality Embeddings

Robot caregiving should be personalized to meet the diverse needs of care recipients -- assisting ...

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios

Mammographic screening is an effective method for detecting breast cancer, facilitating early diag...

Closed-Form Feedback-Free Learning with Forward Projection

State-of-the-art methods for backpropagation-free learning employ local error feedback to direct i...

Vision-Aided Channel Prediction Based on Image Segmentation at Street Intersection Scenarios

Intelligent vehicular communication with vehicle road collaboration capability is a key technology...

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