NewsAMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINETuesday, May 5, 2026 · May 5, 2026
Standalone Prognostication of Idiopathic Pulmonary Fibrosis Using Attention-Based Deep Learning.
WHY IT MATTERS
Recent peer-reviewed research on Idiopathic pulmonary fibrosis that may be relevant for patients and caregivers.
The prognosis of idiopathic pulmonary fibrosis (IPF) is heterogeneous and challenging to predict. To develop and externally test ORACLE-IPF, a fully automated deep learning model predicting five-year mortality risk from a single baseline chest CT scan. ORACLE-IPF was trained and internally tested us...
Related conditions
Related news
Int J Circumpolar Health · -222 days ago
A population-based legacy study of myasthenia gravis in Iceland: insights from a small Arctic nation
Published in Int J Circumpolar Health. Hjaltason H et al.…
Health Inf Sci Syst · -192 days ago
PhenoRareAI: Phenotype-based intelligent diagnosis for rare neuromuscular disorders of glycogen storage disease and spinal muscular atrophy
Published in Health Inf Sci Syst. Zhai W et al.…
Ther Adv Rare Dis · -192 days ago
Could an outcome-based agreement be operationalized using real-world data from the Canadian Neuromuscular Disease Registry? Perspectives from an expert-led assessment in spinal muscular atrophy
Published in Ther Adv Rare Dis. Mitha A et al.…
J Allergy Clin Immunol Glob · -39 days ago
Emerging trends and research hot spots in inborn error of immunity: A bibliometric perspective
Published in J Allergy Clin Immunol Glob. Alblooshi H et al.…