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Natural language processing-based intervention to detect interstitial lung abnormalities

Year: 2026

Type: article

Abstract: Extract Interstitial lung disease (ILD) commonly leads to declining lung function and premature death. With therapies to slow progression, early detection and intervention remain the best opportunity to improve patient outcomes. Despite this, patients report significant delays in diagnosis [1, 2], placing them at risk of unnecessary procedures, ineffective and potentially harmful treatments, unchecked progression, and premature death [2–7]. There are several drivers of diagnostic delay, with a delay in pulmonology referral being most common in the primary care setting [7, 8].

Source: European Respiratory Journal

DOI: 10.1183/13993003.00046-2026