AI shows potential in managing idiopathic pulmonary fibrosis: report

It is increasingly being applied to CT scans.

Recent developments in artificial intelligence (AI) have shown potential in supporting the management of Idiopathic pulmonary fibrosis (IPF), a progressive lung disease characterised by the accumulation of scar tissue in the lungs, according to GlobalData.

AI algorithms using machine learning and deep learning techniques have increasingly been applied to the analysis of computed tomography (CT) scans.

“By analysing large datasets of CT images, AI models can assist in the early detection of IPF,” said Filippos Maniatis, Healthcare Analyst at GlobalData.

“By integrating different data sources, AI can improve our understanding of IPF and support clinical decision-making,” Maniatis added.