Pulmonology

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

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Deep Learning for the Classification of Small (≤2 cm) Pulmonary Nodules on CT Imaging: A Preliminary Study.

RATIONALE AND OBJECTIVES: We aimed to present a deep learning-based malignancy prediction model (CT-...

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.

PURPOSE: Diagnosis of lung cancer requires radiologists to review every lung nodule in CT images. Su...

Attention-based recurrent neural network for influenza epidemic prediction.

BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health haza...

ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network.

BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growt...

Deep segmentation networks predict survival of non-small cell lung cancer.

Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...

Artificial Intelligence, Radiology, and Tuberculosis: A Review.

Tuberculosis is a leading cause of death from infectious disease worldwide, and is an epidemic in ma...

A fast and scalable method for quality assurance of deformable image registration on lung CT scans using convolutional neural networks.

PURPOSE: To develop and evaluate a method to automatically identify and quantify deformable image re...

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.

PURPOSE: Early detection and treatment of lung cancer holds great importance. However, pulmonary-nod...

A genetic programming-based approach to identify potential inhibitors of serine protease of .

We applied genetic programming approaches to understand the impact of descriptors on inhibitory eff...

Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.

Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the d...

Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.

Background Multicenter studies are required to validate the added benefit of using deep convolutiona...

Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China.

The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD)...

Comparative Assessment of the Methanol Extracts of the Leaf, Stem, and Root Barks of on Lung and Breast Cancer Cell Lines.

OBJECTIVES: Mill. I.M.Johnst. is a medicinal plant widely used in ethnomedicine for the treatment o...

Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

While machine learning approaches can enhance prediction ability, little is known about their abilit...

Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model.

The aim of this study was to identify a combination of early predictive symptoms/sensations attribut...

Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and i...

Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

OBJECTIVES: This study aimed to develop non-invasive machine learning classifiers for predicting pos...

Lung Nodule Detection based on Ensemble of Hand Crafted and Deep Features.

Lung cancer is considered as a deadliest disease worldwide due to which 1.76 million deaths occurred...

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