Pulmonology

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

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Deep-learning model accurately classifies multi-label lung ultrasound findings, enhancing diagnostic accuracy and inter-reader agreement.

Despite the increasing use of lung ultrasound (LUS) in the evaluation of respiratory disease, operat...

High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma.

Oral cancer is a global health challenge with a difficult histopathological diagnosis. The accurate ...

Estimating intra- and inter-subject oxygen consumption in outdoor human gait using multiple neural network approaches.

Oxygen consumption ([Formula: see text]) is an important measure for exercise test, such as walking ...

Predictive models for heat stress assessment in Holstein dairy heifers using infrared thermography and machine learning.

Heat stress is a condition that impairs the animal's productive and reproductive performance, and ca...

Large-scale deep learning identifies the antiviral potential of PKI-179 and MTI-31 against coronaviruses.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to the global pandemic of Coron...

Evaluating ChatGPT as a patient resource for frequently asked questions about lung cancer surgery-a pilot study.

OBJECTIVE: Chat-based artificial intelligence programs like ChatGPT are reimagining how patients see...

Development and validation of a machine-learning model for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.

Pneumonia is a common postoperative complication in patients with aneurysmal subarachnoid hemorrhage...

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cell...

Machine-Learning Model Identifies Patients With Alpha-1 Antitrypsin Deficiency Using Claims Records.

Identifying patients with rare diseases like alpha-1 antitrypsin deficiency (AATD) is challenging. M...

Evolution of radiology staff perspectives during artificial intelligence (AI) implementation for expedited lung cancer triage.

AIMS: To investigate radiology staff perceptions of an AI tool for chest radiography triage, flaggin...

Identification of Nocturnal Leg Cramps and Affecting Factors in COPD Patients: Logistic Regression and Artificial Neural Network.

Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) pat...

GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification.

PURPOSE: Currently, deep learning methods for the classification of benign and malignant lung nodule...

Radiomics-Based Support Vector Machine Distinguishes Molecular Events Driving the Progression of Lung Adenocarcinoma.

INTRODUCTION: An increasing number of early-stage lung adenocarcinomas (LUAD) are detected as lung n...

Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules.

INTRODUCTION: Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (...

Extracorporeal Closed-Loop Respiratory Regulation for Patients With Respiratory Difficulty Using a Soft Bionic Robot.

OBJECTIVE: Respiratory regulation is critical for patients with respiratory dysfunction. Clinically ...

Identifying severe community-acquired pneumonia using radiomics and clinical data: a machine learning approach.

Evaluating Community-Acquired Pneumonia (CAP) is crucial for determining appropriate treatment metho...

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