Practice Management

Reimbursement

Latest AI and machine learning research in reimbursement for healthcare professionals.

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Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.

OBJECTIVE: Heart failure, respiratory failure and kidney failure are three severe organ failures (OF...

Modified CPT-TODIM method for evaluating the development level of digital inclusive finance under probabilistic hesitant fuzzy environment.

Unlike traditional finance, digital inclusive finance is committed to integrating digital technology...

Correlation analysis of deep learning methods in S-ICD screening.

BACKGROUND: Machine learning methods are used in the classification of various cardiovascular diseas...

Effect of cyborg-type robot Hybrid Assistive Limb on patients with severe walking disability in acute stroke: A randomized controlled study.

OBJECTIVES: To investigate whether early gait training using Hybrid Assistive Limb (HAL) is feasible...

Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure.

INTRODUCTION: S-ICD eligibility is assessed at pre-implant screening where surface ECG traces are us...

Using natural language processing to identify opioid use disorder in electronic health record data.

BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...

[Robot-assisted Thoracic Surgery: Learning Curve and Cost Analysis in a German High-Volume Centre].

Robot-assisted thoracic surgery (RATS) is a rapidly evolving surgical technique in Europe. The aim o...

Hierarchical label-wise attention transformer model for explainable ICD coding.

International Classification of Diseases (ICD) coding plays an important role in systematically clas...

Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study.

Our objective was to develop deep learning models with chest radiograph data to predict healthcare c...

Overview of ICD-11 architecture and structure.

BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of c...

Comparison of different feature extraction methods for applicable automated ICD coding.

BACKGROUND: Automated ICD coding on medical texts via machine learning has been a hot topic. Related...

A tree based approach for multi-class classification of surgical procedures using structured and unstructured data.

BACKGROUND: In surgical department, CPT code assignment has been a complicated manual human effort, ...

ICD-11: an international classification of diseases for the twenty-first century.

BACKGROUND: The International Classification of Diseases (ICD) has long been the main basis for comp...

Applying interpretable deep learning models to identify chronic cough patients using EHR data.

BACKGROUND AND OBJECTIVE: Chronic cough (CC) affects approximately 10% of adults. Many disease state...

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