Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

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3plex Web: An Interactive Platform for RNA:DNA Triplex Prediction and Analysis

Summary: Long non-coding RNAs (lncRNAs) exert their functions by cooperating with other molecules ...

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...

DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations

Traditional predictive coding networks, inspired by theories of brain function, consistently achie...

"It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool

The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic i...

UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding

Point cloud compression has become a crucial factor in immersive visual media processing and strea...

Feature Importance-Aware Deep Joint Source-Channel Coding for Computationally Efficient and Adjustable Image Transmission

Recent advancements in deep learning-based joint source-channel coding (deepJSCC) have significant...

3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model

Learned image compression (LIC) has recently made significant progress, surpassing traditional met...

SnapPix: Efficient-Coding--Inspired In-Sensor Compression for Edge Vision

Energy-efficient image acquisition on the edge is crucial for enabling remote sensing applications...

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models

Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...

Extracting Patient History from Clinical Text: A Comparative Study of Clinical Large Language Models

Extracting medical history entities (MHEs) related to a patient's chief complaint (CC), history of...

Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective

Medical knowledge graphs (KGs) are essential for clinical decision support and biomedical research...

Distributed Nonlinear Transform Source-Channel Coding for Wireless Correlated Image Transmission

This paper investigates distributed joint source-channel coding (JSCC) for correlated image semant...

Explainable ICD Coding via Entity Linking

Clinical coding is a critical task in healthcare, although traditional methods for automating clin...

GIViC: Generative Implicit Video Compression

While video compression based on implicit neural representations (INRs) has recently demonstrated ...

SINR: Sparsity Driven Compressed Implicit Neural Representations

Implicit Neural Representations (INRs) are increasingly recognized as a versatile data modality fo...

TFIC: End-to-End Text-Focused Image Compression for Coding for Machines

Traditional image compression methods aim to faithfully reconstruct images for human perception. I...

Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines

Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote in...

UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach

Learning-based point cloud compression methods have made significant progress in terms of performa...

Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding

We consider multiple transmitters aiming to communicate their source signals (e.g., images) over a...

Guided Diffusion for the Extension of Machine Vision to Human Visual Perception

Image compression technology eliminates redundant information to enable efficient transmission and...

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