Practice Management

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

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Can large language models be privacy preserving and fair medical coders?

Protecting patient data privacy is a critical concern when deploying machine learning algorithms i...

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark

Large models have achieved remarkable performance across various tasks, yet they incur significant...

How chromatin interactions shed light on interpreting non-coding genomic variants: opportunities and future direc-tions

Genomic variants, including copy number variants (CNVs) and genome-wide associa-tion study (GWAS) ...

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR

Automatic Speech Recognition (ASR) systems in the clinical domain face significant challenges, not...

Robust Steganography with Boundary-Preserving Overflow Alleviation and Adaptive Error Correction

With the rapid evolution of the Internet, the vast amount of data has created opportunities for fo...

Sparse-Coding Variational Autoencoders.

The sparse coding model posits that the visual system has evolved to efficiently code natural stimul...

Nov 2024 39383030
Leveraging genomic deep learning models for non-coding variant effect prediction

The majority of genetic variants identified in genome-wide association studies of complex traits a...

Cloned Identity Detection in Social-Sensor Clouds based on Incomplete Profiles

We propose a novel approach to effectively detect cloned identities of social-sensor cloud service...

Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding

An adversarial example is a modified input image designed to cause a Machine Learning (ML) model t...

Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial

\textbf{Trial design} Crossover randomized controlled trial. \textbf{Methods} An AI tool, Easy-ICD...

Fine-tuning foundational models to code diagnoses from veterinary health records

Veterinary medical records represent a large data resource for application to veterinary and One H...

Representation Learning of Structured Data for Medical Foundation Models

Large Language Models (LLMs) have demonstrated remarkable performance across various domains, incl...

pyhgf: A neural network library for predictive coding

Bayesian models of cognition have gained considerable traction in computational neuroscience and p...

Improvement of Spiking Neural Network with Bit Planes and Color Models

Spiking neural network (SNN) has emerged as a promising paradigm in computational neuroscience and...

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning

Medication Extraction and Mining play an important role in healthcare NLP research due to its prac...

Adapting Large Language Models for Automated Summarisation of Electronic Medical Records in Clinical Coding.

Encapsulating a patient's clinical narrative into a condensed, informative summary is indispensable ...

Sep 2024 39320176
MedCodER: A Generative AI Assistant for Medical Coding

Medical coding is essential for standardizing clinical data and communication but is often time-co...

Automated detection of underdiagnosed medical conditions via opportunistic imaging

Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunis...

The Practice of Averaging Rate-Distortion Curves over Testsets to Compare Learned Video Codecs Can Cause Misleading Conclusions

This paper aims to demonstrate how the prevalent practice in the learned video compression communi...

Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective

Fungal simulation and control are considered crucial techniques in Bio-Art creation. However, codi...

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