AIMC Topic: Lung Diseases, Interstitial

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Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis.

Respiratory medicine Oct 13, 2023
RATIONALE: Non-invasive diagnosis of idiopathic pulmonary fibrosis (IPF) involves identification of usual interstitial pneumonia (UIP) pattern by computed tomography (CT) and exclusion of other known etiologies of interstitial lung disease (ILD). How...
Humans Algorithms Deep Learning Idiopathic Pulmonary Fibrosis Tomography, X-Ray Computed Retrospective Studies Lung Diseases, Interstitial Lung
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External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT.

European radiology Sep 29, 2023
OBJECTIVES: There is a need for CT pulmonary angiography (CTPA) lung segmentation models. Clinical translation requires radiological evaluation of model outputs, understanding of limitations, and identification of failure points. This multicentre stu...
Hypertension, Pulmonary Deep Learning Humans Lung Diseases, Interstitial Artificial Intelligence Tomography, X-Ray Computed Lung Retrospective Studies
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The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease.

PloS one Sep 27, 2023
To evaluate the effect of the deep learning model reconstruction (DLM) method in terms of image quality and diagnostic agreement in low-dose computed tomography (LDCT) for interstitial lung disease (ILD), 193 patients who underwent LDCT for suspected...
Lung Diseases, Interstitial Tomography, X-Ray Computed Deep Learning Humans Idiopathic Pulmonary Fibrosis Retrospective Studies
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Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility.

Academic radiology Jul 27, 2023
RATIONALE AND OBJECTIVES: The effect of different computed tomography (CT) reconstruction kernels on the quantification of interstitial lung disease (ILD) has not been clearly demonstrated. The study aimed to investigate the effect of reconstruction ...
Humans Retrospective Studies Lung Deep Learning Lung Diseases, Interstitial Tomography, X-Ray Computed Reproducibility of Results
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Computed Tomography-Based Deep Learning Model for Assessing the Severity of Patients With Connective Tissue Disease-Associated Interstitial Lung Disease.

Journal of computer assisted tomography Jul 7, 2023
OBJECTIVES: This study aimed to develop a computed tomography (CT)-based deep learning model for assessing the severity of patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD).
Tomography, X-Ray Computed Lung Deep Learning Humans Retrospective Studies Connective Tissue Diseases Cysts Lung Diseases, Interstitial
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Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning.

PloS one Jun 27, 2023
BACKGROUND: In diseases such as interstitial lung diseases (ILDs), patient diagnosis relies on diagnostic analysis of bronchoalveolar lavage fluid (BALF) and biopsies. Immunological BALF analysis includes differentiation of leukocytes by standard cyt...
Bronchoalveolar Lavage Fluid Leukocyte Count Bronchoalveolar Lavage Lung Diseases, Interstitial Microscopy Humans Cell Differentiation Leukocytes Deep Learning
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Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BMC pulmonary medicine Jun 2, 2023
BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognos...
Artificial Intelligence Adult Quality of Life Lung Diseases, Interstitial Lung Ultrasonography Case-Control Studies Pulmonary Disease, Chronic Obstructive Auscultation Observational Studies as Topic Deep Learning Idiopathic Pulmonary Fibrosis Clinical Protocols Humans Respiratory Sounds Idiopathic Interstitial Pneumonias
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Role of the internet of medical things in care for patients with interstitial lung disease.

Current opinion in pulmonary medicine May 19, 2023
PURPOSE OF REVIEW: Online technologies play an increasing role in facilitating care for patients with interstitial lung disease (ILD). In this review, we will give an overview of different applications of the internet of medical things (IoMT) for pat...
Internet Lung Diseases, Interstitial Humans Artificial Intelligence
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Classification of pulmonary sounds through deep learning for the diagnosis of interstitial lung diseases secondary to connective tissue diseases.

Computers in biology and medicine Apr 20, 2023
Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is critical for the treatment and survival of patients. The symptoms, like dry cough and dyspnea, appear late in the clinical history and are not specific, moreover...
Connective Tissue Diseases Aged Lung Diseases, Interstitial Lung Respiratory Sounds Deep Learning Humans Tomography, X-Ray Computed
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Artificial Intelligence and Interstitial Lung Disease: Diagnosis and Prognosis.

Investigative radiology Apr 11, 2023
Interstitial lung disease (ILD) is now diagnosed by an ILD-board consisting of radiologists, pulmonologists, and pathologists. They discuss the combination of computed tomography (CT) images, pulmonary function tests, demographic information, and his...
Prognosis Tomography, X-Ray Computed Humans Artificial Intelligence Lung Radiologists Lung Diseases, Interstitial
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