Pulmonology

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

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Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding.

BACKGROUND: The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damag...

Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation.

Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due ...

Artificial intelligence in respiratory pandemics-ready for disease X? A scoping review.

OBJECTIVES: This study aims to identify repeated previous shortcomings in medical imaging data colle...

Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung Adenocarcinoma.

There exist significant challenges for lung adenocarcinoma (LUAD) due to its poor prognosis and lim...

Machine learning-based prediction model for brain metastasis in patients with extensive-stage small cell lung cancer.

Brain metastases (BMs) in extensive-stage small cell lung cancer (ES-SCLC) are often associated with...

Automatic detection and proximity quantification of inferior alveolar nerve and mandibular third molar on cone-beam computed tomography.

OBJECTIVES: During mandibular third molar (MTM) extraction surgery, preoperative analysis to quantif...

An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study.

BACKGROUND: To retrospectively assess the added value of an artificial intelligence (AI) algorithm f...

Prediction of benign and malignant pulmonary nodules using preoperative CT features: using PNI-GARS as a predictor.

PURPOSE: The aim of this study was to develop and validate a prediction model for classification of ...

Analysis and prediction of infectious diseases based on spatial visualization and machine learning.

Infectious diseases are a global public health problem that poses a threat to human society. Since t...

Predicting Asthma Exacerbations Using Machine Learning Models.

INTRODUCTION: Although clinical, functional, and biomarker data predict asthma exacerbations, newer ...

A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach.

BACKGROUND: Lung cancer is characterized by high morbidity and mortality due to the lack of practica...

Machine learning identifies immune-based biomarkers that predict efficacy of anti-angiogenesis-based therapies in advanced lung cancer.

BACKGROUND: The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. No...

Deep learning-assisted surface-enhanced Raman spectroscopy detection of intracellular reactive oxygen species.

Realizing the intelligent analysis of the intracellular reactive oxygen species (ROS) is beneficial ...

Small Molecule Inhibitors of Topoisomerase I Identified by Machine Learning and In Vitro Assays.

Tuberculosis (TB) caused by is a leading infectious cause of death globally. The treatment of patie...

BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis.

BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) has high heterogeneity in eti...

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