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Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 2815-2835 of 6,561 articles

The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.

OBJECTIVE: To explore the value of artificial intelligence (AI) film reading system based on deep le...

Mar 2022 PMID: 35360550

Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network.

BACKGROUND AND AIMS: Chronic hepatitis B virus (CHB) infection remains a major global health burden ...

Mar 2022 PMID: 35312969

Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model.

Computer science plays an important role in modern dynamic health systems. Given the collaborative n...

Mar 2022 PMID: 35494520

Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19.

Background: To develop a deep-learning (DL) pipeline that allowed an automated segmentation of epica...

Mar 2022 PMID: 35326485

Application of Da Vinci Robot and Thoracoscopy in Radical Lung Cancer Surgery.

In this article, we have explored the feasibility and safety of Da Vinci's robotic surgery system in...

Mar 2022 PMID: 35340236

A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.

PURPOSE: To develop a deep learning model design that integrates radiomics analysis for enhanced per...

Mar 2022 PMID: 35263458

Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images.

Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac arrest, or ...

Mar 2022 PMID: 35336449

A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients.

. The aim of this study was to assess the feasibility of the development and training of a deep lear...

Mar 2022 PMID: 34715689

Diagnosis of Liver Cirrhosis and Liver Fibrosis by Artificial Intelligence Algorithm-Based Multislice Spiral Computed Tomography.

This research was aimed at investigating the artificial intelligence (AI) segmentation algorithm-bas...

Mar 2022 PMID: 35341007

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data.

COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and pauc...

Mar 2022 PMID: 35288579

Automated detection of pulmonary embolism from CT-angiograms using deep learning.

BACKGROUND: The aim of this study was to develop and evaluate a deep neural network model in the aut...

Mar 2022 PMID: 35282821

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

Pneumonia is one of the most common treatable causes of death, and early diagnosis allows for early ...

Mar 2022 PMID: 34314362

Deep Learning-based Artificial Intelligence Improves Accuracy of Error-prone Lung Nodules.

Early detection of lung cancer is one way to improve outcomes. Improving the detection of nodules o...

Mar 2022 PMID: 35370462

A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.

This study was to conduct a model based on the broad learning system (BLS) for predicting the 28-day...

Mar 2022 PMID: 35281948

Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA).

This study details application of deep learning for automatic segmentation of the ascending and desc...

Mar 2022 PMID: 35233722

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The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.

Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network.

Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model.

Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19.

Application of Da Vinci Robot and Thoracoscopy in Radical Lung Cancer Surgery.

A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.

Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images.

A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients.

Diagnosis of Liver Cirrhosis and Liver Fibrosis by Artificial Intelligence Algorithm-Based Multislice Spiral Computed Tomography.

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data.

Automated detection of pulmonary embolism from CT-angiograms using deep learning.

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

Deep Learning-based Artificial Intelligence Improves Accuracy of Error-prone Lung Nodules.

A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.

Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.

COVID-19 image classification using deep learning: Advances, challenges and opportunities.

INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network.

Artificial intelligence in computed tomography for quantifying lung changes in the era of CFTR modulators.

A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics.

Deep learning for predicting respiratory rate from biosignals.

Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA).

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