Practice Management

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

10,928 articles
Stay Ahead - Weekly Practice Management research updates
Subscribe
Browse Categories
Showing 736-756 of 10,928 articles
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization

Dataset Condensation (DC) aims to obtain a condensed dataset that allows models trained on the con...

Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions

Context: Generative Artificial Intelligence (GenAI) is transforming much of software development, ...

Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression

Learning-based lossless image compression employs pixel-based or subimage-based auto-regression fo...

Accodemy: AI Powered Code Learning Platform to Assist Novice Programmers in Overcoming the Fear of Coding

Computer programming represents a rapidly evolving and sought-after career path in the 21st centur...

Human-AI Experience in Integrated Development Environments: A Systematic Literature Review

The integration of Artificial Intelligence (AI) into Integrated Development Environments (IDEs) is...

Leveraging Taxonomy Similarity for Next Activity Prediction in Patient Treatment

The rapid progress in modern medicine presents physicians with complex challenges when planning pa...

Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations

Multimodal in-context learning (ICL) has emerged as a key capability of Large Vision-Language Mode...

MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotation.

MOTIVATION: As the biological roles and disease implications of non-coding RNAs continue to emerge, ...

Mar 2025 39891346
Large Language Models for Healthcare Text Classification: A Systematic Review

Large Language Models (LLMs) have fundamentally transformed approaches to Natural Language Process...

CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression

3D Gaussian Splatting (3DGS) has recently emerged as a promising 3D representation. Much research ...

Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients wit...

Mar 2025 40035168
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning

Reinforcement learning from verifiable rewards (RLVR) has recently gained attention for its abilit...

PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport

Point cloud compression significantly reduces data volume but sacrifices reconstruction quality, h...

Uncertainty-aware abstention in medical diagnosis based on medical texts

This study addresses the critical issue of reliability for AI-assisted medical diagnosis. We focus...

Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence

Generative model based compact video compression is typically operated within a relative narrow ra...

SBSC: Step-By-Step Coding for Improving Mathematical Olympiad Performance

We propose Step-by-Step Coding (SBSC): a multi-turn math reasoning framework that enables Large La...

Point Cloud Geometry Scalable Coding Using a Resolution and Quality-conditioned Latents Probability Estimator

In the current age, users consume multimedia content in very heterogeneous scenarios in terms of n...

Browse Categories