Beyond Visual Scoring: Computational CT-analysis for HRCT based quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease
Interstitial lung disease (IRD-ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRD). High-resolution computed tomography (HRCT) is widely considered the gold standard for the non-invasive assessment of ILD; however, its interpretation is constrained by substantial inter-observer variability and the need for time-consuming expert evaluation. Computer-based image analysis including artificial intelligence (AI) has emerged as a promising approach for the aut…
Computational AI analysis of HRCT provides automated, objective quantification of interstitial lung disease in patients with inflammatory rheumatic disorders, enabling precise volumetric measurement and pattern classification.
Evidence
- Peer-reviewedArthritis Care & Research2026-08-17
How should this claim be treated?
Truvace Impact Record TRV-2026-0830, v1: “Beyond Visual Scoring: Computational CT-analysis for HRCT based quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease.” Truvace, 2026-08-18. /record/TRV-2026-0830 (accessed at citation time). sha256 cf2db92044cf342d…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0830 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace