Pulmonology

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

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Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C Patients.

BACKGROUND/AIM: Using machine learning approaches as non-invasive methods have been used recently as...

Identification of transcription factors that may reprogram lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma is one of most threatening disease to human health. Although many ef...

High-accuracy detection of airway obstruction in asthma using machine learning algorithms and forced oscillation measurements.

BACKGROUND AND OBJECTIVES: The main pathologic feature of asthma is episodic airway obstruction. Thi...

The attractor recurrent neural network based on fuzzy functions: An effective model for the classification of lung abnormalities.

The respiratory system dynamic is of high significance when it comes to the detection of lung abnorm...

Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification.

We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classi...

Feasibility of robotic stereotactic body radiotherapy of lung tumors with kilovoltage x-ray beams.

PURPOSE: Robotic Stereotactic body radiation therapy (SBRT) for lung tumors is treatment modality th...

A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.

With the passage of recent federal legislation, many medical institutions are now responsible for re...

Respiratory motion compensation for the robot-guided laser osteotome.

PURPOSE: The use of a robot-guided laser osteotome for median sternotomy is impeded by prohibiting c...

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help preven...

Prediction of Prolonged Ventilation after Coronary Artery Bypass Grafting: Data from an Artificial Neural Network.

OBJECTIVES: The need for mechanical ventilation 24 hours after coronary artery bypass grafting (CABG...

Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys.

PURPOSE: Respiratory motion prediction using an artificial neural network (ANN) was integrated with ...

Physiological motion modeling for organ-mounted robots.

BACKGROUND: Organ-mounted robots passively compensate heartbeat and respiratory motion. In model-gui...

Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning.

Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific liter...

Design and analysis of a tendon-based computed tomography-compatible robot with remote center of motion for lung biopsy.

Nowadays, biopsy is a decisive method of lung cancer diagnosis, whereas lung biopsy is time-consumin...

Controlling testing volume for respiratory viruses using machine learning and text mining.

Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associ...

Interpretable Deep Models for ICU Outcome Prediction.

Exponential surge in health care data, such as longitudinal data from electronic health records (EHR...

A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty.

The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs an...

Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network.

Tuberculosis (TB) affects people globally and is being reconsidered as a serious public health probl...

Control and Evaluation of a Powered Transfemoral Prosthesis for Stair Ascent.

This paper assesses the metabolic effort exerted by three transfemoral amputees, when using a powere...

Machine learning and docking models for Mycobacterium tuberculosis topoisomerase I.

There is a shortage of compounds that are directed towards new targets apart from those targeted by ...

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