Pulmonology

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

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Rapid, non-invasive breath analysis for enhancing detection of silicosis using mass spectrometry and interpretable machine learning.

Occupational lung diseases, such as silicosis, are a significant global health concern, especially w...

Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials.

Concerns regarding chronic injuries (e.g., fibrosis and carcinogenesis) induced by nanoparticles rai...

Ensemble-based multiclass lung cancer classification using hybrid CNN-SVD feature extraction and selection method.

Lung cancer (LC) is a leading cause of cancer-related fatalities worldwide, underscoring the urgency...

ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification.

Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, grou...

Leveraging Artificial Intelligence as a Safety Net for Incidentally Identified Lung Nodules at a Tertiary Center.

BACKGROUND: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically sig...

Artificial intelligence for predicting interstitial fibrosis and tubular atrophy using diagnostic ultrasound imaging and biomarkers.

BACKGROUND: Chronic kidney disease (CKD) is a global health concern characterised by irreversible re...

DPI-MoCo: Deep Prior Image Constrained Motion Compensation Reconstruction for 4D CBCT.

4D cone-beam computed tomography (CBCT) plays a critical role in adaptive radiation therapy for lung...

Classification of pulmonary diseases from chest radiographs using deep transfer learning.

Pulmonary diseases are the leading causes of disabilities and deaths worldwide. Early diagnosis of p...

Cost-effectiveness of novel diagnostic tools for idiopathic pulmonary fibrosis in the United States.

OBJECTIVES: Novel non-invasive machine learning algorithms may improve accuracy and reduce the need ...

A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning.

Physicians evaluate a patient's respiratory health during a physical examination by visual assessmen...

Subphenotyping prone position responders with machine learning.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying res...

Lung cancer detection with machine learning classifiers with multi-attribute decision-making system and deep learning model.

Diseases of the airways and the other parts of the lung cause chronic respiratory diseases. The majo...

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