AIMC Topic: Lung Diseases, Interstitial

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Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease.

AJR. American journal of roentgenology Oct 20, 2021
Deep learning has been heavily explored for pulmonary nodule detection on chest radiographs. Detection of reticular opacity in interstitial lung disease (ILD) is challenging and may also benefit from a deep learning algorithm (DLA). The purpose of ...
Middle Aged Deep Learning Radiography Lung Diseases, Interstitial Humans Radiography, Thoracic Algorithms Female Retrospective Studies Aged Sensitivity and Specificity Male
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Artificial Intelligence for Interstitial Lung Disease: Proudly Supporting Radiologists Since 2021.

Radiology Oct 12, 2021
Radiologists Lung Diseases, Interstitial Humans Artificial Intelligence
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Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.

Radiology Oct 12, 2021
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires experience and is subject to substantial interreader variability. Purpose To investigate whether a proposed content-based image retrieval (CBIR) of sim...
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans Deep Learning Diagnosis, Differential Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Lung Diseases, Interstitial Lung
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Artificial Intelligence for Interstitial Lung Disease Analysis on Chest Computed Tomography: A Systematic Review.

Academic radiology Jul 1, 2021
RATIONALE AND OBJECTIVES: High-resolution computed tomography (HRCT) is paramount in the assessment of interstitial lung disease (ILD). Yet, HRCT interpretation of ILDs may be hampered by inter- and intra-observer variability. Recently, artificial in...
Retrospective Studies Tomography, X-Ray Computed Lung Lung Diseases, Interstitial Humans Artificial Intelligence Prospective Studies
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Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network.

Korean journal of radiology Oct 30, 2020
OBJECTIVE: We aimed to develop a deep neural network for segmenting lung parenchyma with extensive pathological conditions on non-contrast chest computed tomography (CT) images.
Lung Diseases, Interstitial Aged Automation Aged, 80 and over Adult Lung Humans Deep Learning Databases, Factual Male Tomography, X-Ray Computed Middle Aged Female
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Lung Shrinkage: An Additional CT Marker in the Follow-up of Fibrotic Interstitial Lung Disease.

Radiology Oct 20, 2020
Lung Diseases, Interstitial Scleroderma, Systemic Tomography, X-Ray Computed Lung Deep Learning Follow-Up Studies Humans
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Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.

Radiology Oct 20, 2020
Background Longitudinal follow-up of interstitial lung diseases (ILDs) at CT mainly relies on the evaluation of the extent of ILD, without accounting for lung shrinkage. Purpose To develop a deep learning-based method to depict worsening of ILD based...
Longitudinal Studies Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Scleroderma, Systemic Middle Aged Lung Deep Learning Humans Female Male Retrospective Studies Tomography, X-Ray Computed
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Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Comorbidity Health Status Cluster Analysis Lung Diseases, Interstitial Data Mining Kidney Diseases Registries Aged, 80 and over Machine Learning Male Humans Phenotype Prospective Studies Middle Aged Female Prognosis Heart Diseases Risk Assessment Risk Factors France Aged Pulmonary Arterial Hypertension
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Deep learning in interstitial lung disease-how long until daily practice.

European radiology Jun 14, 2020
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung...
Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Algorithms Tomography, X-Ray Computed Lung Diseases, Interstitial Humans Reproducibility of Results Inflammation Lung Idiopathic Pulmonary Fibrosis Pattern Recognition, Automated
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Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care.

EBioMedicine Apr 4, 2020
BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excessive cumulative radiation exposure. To date, AI has not been applied to CT for enhancing clinical care; thus, we hypothesize AI may empower CT with int...
Image Processing, Computer-Assisted Patient-Specific Modeling Humans Female Lung Diseases, Interstitial Male Radiation Exposure Machine Learning Middle Aged Tomography, X-Ray Computed
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