ILD

2024_07

Computed tomography machine learning classifier correlates with mortality in interstitial lung disease

Moran-Mendoza et al.

https://pubmed.ncbi.nlm.nih.gov/38772191/

Highlights

A machine learning classifier system, Fibresolve, was designed and validated as an adjunct to non-invasive diagnosis in idiopathic pulmonary fibrosis (IPF). The system uses a deep learning algorithm to analyze chest computed tomography (CT) imaging. Fibresolve demonstrated to be an independent predictor of mortality in ILDs, with prognostic performance equivalent to GAP based solely on CT images.

2024_05

Machine learning classifier is associated with mortality in interstitial lung disease: a retrospective validation study leveraging registry data

Selvan et al.

https://pubmed.ncbi.nlm.nih.gov/38783245/

Highlights

In this multi-center validation study, Fibresolve was applied to chest CT scans of patients with confirmed ILD that had available follow-up data. Fibresolve is independently associated with mortality in ILD, particularly amongst patients with non-IPF ILDs and in those with severe disease.