PMFF-Net AI Diagnostic
Idiopathic Pulmonary Fibrosis · Parallel Multi-scale Feature Fusion Network classifies ILD patterns from CT with 97.6% accuracy
Mechanism
Parallel Multi-scale Feature Fusion Network classifies ILD patterns from CT with 97.6% accuracy
Development stage
Available Now
Evidence level
Computational
Developer
Multiple
Overview
Transformer+CNN hybrid architecture. Diagnoses UIP pattern, NSIP, and other ILD subtypes. Enables earlier treatment initiation. Reduces diagnostic delay from years to minutes.
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Medical disclaimer. This page summarizes research about PMFF-Net AI Diagnostic for information only. It is not medical advice. Verify approval status and evidence with the FDA and a pulmonologist.