Pulmonology

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

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A comparative study of robot-assisted thoracoscopic surgery and conventional approaches for short-term outcomes of anatomical segmentectomy.

OBJECTIVES: Since anatomical segmentectomy requires meticulous dissection of the segmental pulmonary...

Sleep Apnea Prediction Using Deep Learning.

Obstructive sleep apnea (OSA) is a sleep disorder that causes partial or complete cessation of breat...

A comprehensive segmentation of chest X-ray improves deep learning-based WHO radiologically confirmed pneumonia diagnosis in children.

OBJECTIVES: To investigate a comprehensive segmentation of chest X-ray (CXR) in promoting deep learn...

Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clinic.

OBJECTIVE: This study addressed the problem of objectively detecting leaks in P2 respirators at poin...

Treating drug-resistant tuberculosis in an era of shorter regimens: Insights from rural South Africa.

BACKGROUND: Progressive interventions have recently improved programmatic outcomes in drug-resistant...

The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis.

Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers ...

Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.

INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and r...

The 2022 Banff Meeting Lung Report.

The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology Conference-held in Banff,...

Utilizing Deep Learning and Computed Tomography to Determine Pulmonary Nodule Activity in Patients With Nontuberculous Mycobacterial-Lung Disease.

PURPOSE: To develop and evaluate a deep convolutional neural network (DCNN) model for the classifica...

Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.

BACKGROUND: Machine learning (ML)-derived notifications for impending episodes of hemodynamic instab...

Identification and validation of a pyroptosis-related signature in identifying active tuberculosis via a deep learning algorithm.

INTRODUCTION: Active tuberculosis (ATB), instigated by Mycobacterium tuberculosis (M.tb), rises as a...

Application of radiomics in diagnosis and treatment of lung cancer.

Radiomics has become a research field that involves the process of converting standard nursing image...

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis.

The rapid spread of the severe acute respiratory syndrome coronavirus 2 led to a global overextensio...

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