Session Information:
Spoken session S153-S158: The importance of early diagnosis in ILD: novel approaches
Date: Thursday, November 28, 2025
Time: 10:30 a.m. BST
Presentation title:
Potential of AI to Detect ILD in Primary Care Settings: A Real-World Evaluation
Interstitial Lung Disease (ILD) prevalence is rising, yet ILD often remains misdiagnosed or diagnosed late, particularly due to referral delays (3.8±2.1 years between first spirometry and diagnosis [1]). In primary care, spirometry is the predominant test for assessing respiratory symptoms, but ILD is often overlooked. ArtiQ.Spiro, an AI-based support tool for spirometry interpretation, shows strong potential to assist clinicians in identifying possible ILD. During this session, the authors will present on methods, results, and conclusions on the prevalence of AI-flagged ILD cases in a real-world primary care setting to evaluate AI’s potential to prompt earlier specialist referrals.
Clario Authors:
Christina Vairelles – Associate AI Scientist at Clario
Mladen Rakić – AI Scientist at Clario
Elena Smets – Upstream Product Manager at Clario
Paul Desbordes, Ph.D. – Team Lead, R&D Software Engineering, AI at Clario
Marko Topalović, Ph.D. – SVP, Chief AI Officer at Clario
Additional authors from:
- Harefield Respiratory Research Group, Guy’s and St Thomas’ NHS Foundation Trust
- Department of Respiratory Medicine, The Hillingdon Hospitals NHS Foundation Trust
- The Confederation, Faculty of Life Sciences and Medicine, Hillingdon CIC, King’s Centre for Lung Health, King’s College
- National Heart & Lung Institute, Imperial College