AIMC Topic: Idiopathic Pulmonary Fibrosis

Clear Filters Showing 51 to 58 of 58 articles

Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes.

American journal of respiratory and critical care medicine May 1, 2024
Computed tomography (CT) enables noninvasive diagnosis of usual interstitial pneumonia (UIP), but enhanced image analyses are needed to overcome the limitations of visual assessment. Apply multiple instance learning (MIL) to develop an explainable ...
Female Aged Male Algorithms Prognosis Tomography, X-Ray Computed Humans Idiopathic Pulmonary Fibrosis Predictive Value of Tests Lung Diseases, Interstitial Middle Aged Deep Learning Cohort Studies
View on PubMed DOI

Deep Learning-based Fibrosis Extent on Computed Tomography Predicts Outcome of Fibrosing Interstitial Lung Disease Independent of Visually Assessed Computed Tomography Pattern.

Annals of the American Thoracic Society Feb 1, 2024
Radiologic pattern has been shown to predict survival in patients with fibrosing interstitial lung disease. The additional prognostic value of fibrosis extent by quantitative computed tomography (CT) is unknown. We hypothesized that fibrosis extent...
Tomography, X-Ray Computed Lung Deep Learning Idiopathic Pulmonary Fibrosis Humans Lung Diseases, Interstitial Prognosis Retrospective Studies
View on PubMed DOI

Standigm ASK™: knowledge graph and artificial intelligence platform applied to target discovery in idiopathic pulmonary fibrosis.

Briefings in bioinformatics Jan 22, 2024
Standigm ASK™ revolutionizes healthcare by addressing the critical challenge of identifying pivotal target genes in disease mechanisms-a fundamental aspect of drug development success. Standigm ASK™ integrates a unique combination of a heterogeneous ...
Humans Artificial Intelligence Lung Idiopathic Pulmonary Fibrosis Pattern Recognition, Automated
View on PubMed DOI

The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.

Therapeutic advances in respiratory disease Jan 1, 2024
The review summarizes the applications of CT and AI algorithms for prognostic models in IPF and procedures of model construction. It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms a...
Algorithms Prognosis Tomography, X-Ray Computed Humans Artificial Intelligence Lung Idiopathic Pulmonary Fibrosis Predictive Value of Tests
View on PubMed DOI

Deep Learning-based Outcome Prediction in Progressive Fibrotic Lung Disease Using High-Resolution Computed Tomography.

American journal of respiratory and critical care medicine Oct 1, 2022
Reliable outcome prediction in patients with fibrotic lung disease using baseline high-resolution computed tomography (HRCT) data remains challenging. To evaluate the prognostic accuracy of a deep learning algorithm (SOFIA [Systematic Objective Fib...
Lung Diseases, Interstitial Prognosis Retrospective Studies Tomography, X-Ray Computed Lung Deep Learning Idiopathic Pulmonary Fibrosis Humans Prospective Studies
View on PubMed DOI

A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study.

Medicine Feb 19, 2021
Fine crackles are frequently heard in patients with interstitial lung diseases (ILDs) and are known as the sensitive indicator for ILDs, although the objective method for analyzing respiratory sounds including fine crackles is not clinically availabl...
Respiratory Sounds Radiography, Thoracic Auscultation Humans Machine Learning Female Lung Male Aged Algorithms Idiopathic Pulmonary Fibrosis Middle Aged Aged, 80 and over Tomography, X-Ray Computed Lung Diseases, Interstitial Disease Progression
View on PubMed DOI

Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis.

Annals of the American Thoracic Society Jan 1, 2021
The computed tomography (CT) pattern of definite or probable usual interstitial pneumonia (UIP) can be diagnostic of idiopathic pulmonary fibrosis and may obviate the need for invasive surgical biopsy. Few machine-learning studies have investigated ...
Middle Aged Deep Learning Age Factors Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Female Aged Male Retrospective Studies Humans Tomography, X-Ray Computed
View on PubMed DOI

Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Annals of the American Thoracic Society Nov 1, 2017
RATIONALE: Usual interstitial pneumonia (UIP) is the histopathologic hallmark of idiopathic pulmonary fibrosis. Although UIP can be detected by high-resolution computed tomography of the chest, the results are frequently inconclusive, and pathology f...
Cohort Studies Gene Expression Sequence Analysis, RNA Aged, 80 and over Lung ROC Curve Idiopathic Pulmonary Fibrosis Biopsy Adolescent Diagnosis, Differential Tomography, X-Ray Computed Sensitivity and Specificity Logistic Models Humans Young Adult Female Male Machine Learning Adult Aged Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals