Pulmonology

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

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Suitability of machine learning for atrophy and fibrosis development in neovascular age-related macular degeneration.

PURPOSE: To assess the suitability of machine learning (ML) techniques in predicting the development...

Improved antimicrobial activities of essential oils nanoencapsulated into hydroxypropyl-beta-cyclodextrins.

Natural antimicrobials have recently gained increasing interest over synthetic antimicrobials to ove...

Predicting COVID-19 Outcomes: Machine Learning Predictions Across Diverse Datasets.

Background The COVID-19 infection has spread rapidly since its emergence and has affected a large pa...

Assessment of Quality Outcomes and the Learning Curve for Robot-Assisted Anatomical Lung Resections.

To determine the perioperative quality assessment results and learning curves for robot-assisted an...

View Score: An early warning score to detect possible complications among COVID-19 patients.

INTRODUCTION: Understanding pulmonary function at various phases after coronavirus disease 2019 (COV...

Advances in machine learning-based bacteria analysis for forensic identification: identity, ethnicity, and site of occurrence.

When faced with an unidentified body, identifying the victim can be challenging, particularly if phy...

Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images.

OBJECTIVES: To establish deep learning models for malignancy risk estimation of sub-centimeter pulmo...

Microsatellite Instability, Mismatch Repair, and Tumor Mutation Burden in Lung Cancer.

Since US Food and Drug Administration approval of programmed death ligand 1 (PD-L1) as the first com...

Structure-based approaches against COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has had a major impact on human life. This review h...

Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs.

OBJECTIVES: To develop and validate a deep learning-based prognostic model in patients with idiopath...

Deep learning-based automatic segmentation of cardiac substructures for lung cancers.

PURPOSE: Accurate and comprehensive segmentation of cardiac substructures is crucial for minimizing ...

Machine Learning Approaches to Predict Asthma Exacerbations: A Narrative Review.

The implementation of artificial intelligence (AI) and machine learning (ML) techniques in healthcar...

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is cha...

Developing a model to predict neonatal respiratory distress syndrome and affecting factors using data mining: A cross-sectional study.

One of the major challenges that hospitals and clinicians face is the early identification of newbo...

Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading.

OBJECTIVE: The aim of the study is to assess the correlation between artificial intelligence (AI)-ba...

Applications of Artificial Intelligence in Lung Pathology.

Artificial intelligence/machine learning tools are being created for use in pathology. Some examples...

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