Practice Management

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

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Automatic implicit motive codings are at least as accurate as humans' and 99% faster.

Implicit motives, nonconscious needs that influence individuals' behaviors and shape their emotions,...

Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.

Palliative care is known to improve quality of life in advanced cancer. Natural language processing ...

Optimizing Automated KCD Coding: A Retrieval-Verification Approach.

This study proposes a two-step Retrieval-Verification system for automating the assignment of Korean...

Few-Shot Learning of Medical Coding Systems: A Case Study on Death Certificates with BERT and Mistral.

Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and ...

Assessing the validity of ICD-10 administrative data in coding comorbidities.

OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support h...

Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

BACKGROUND: The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five perce...

Feature-based behavior coding for efficient exploratory analysis using pose estimation.

This paper introduces feature-based behavior coding (FBBC), an efficient method for exploratory anal...

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models.

The integration of Large Language Models (LLMs) like GPT-4 with Extended Reality (XR) technologies o...

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, ...

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...

A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes.

BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defec...

The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review.

The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphas...

TS-Resformer: a model based on multimodal fusion for the classification of music signals.

The number of music of different genres is increasing year by year, and manual classification is cos...

Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish.

INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...

Unveiling Long Non-coding RNA Networks from Single-Cell Omics Data Through Artificial Intelligence.

Single-cell omics technologies have revolutionized the study of long non-coding RNAs (lncRNAs), offe...

Sparse-Coding Variational Autoencoders.

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

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 ...

What Kind of Transformer Models to Use for the ICD-10 Codes Classification Task.

Coding according to the International Classification of Diseases (ICD)-10 and its clinical modificat...

Merging Biomedical Ontologies with BioSTransformers.

Ontologies play a key role in representing and structuring domain knowledge. In the biomedical domai...

Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.

Annotated language resources derived from clinical routine documentation form an intriguing asset fo...

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