Machine learning CT may better predict death in IPF
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Quantitative CT powered by machine learning could help doctors better predict death and disease severity in patients with idiopathic pulmonary fibrosis, international researchers say.
Results from their registry-based study suggest that imaging using data-driven texture analysis (DTA) would also enable earlier initiation of anti-fibrotic therapy and better timing of lung transplant evaluation before “irreversible progression has occurred”.