Robotics & Machine Learning Daily News2024,Issue(Jan.23) :42-43.

University of Louisville Reports Findings in Idiopathic Pulmonary Fibrosis (External validation of Fibresolve, a machine-learning algorithm, to non-invasively diagnose idiopathic pulmonary fibrosis)

Robotics & Machine Learning Daily News2024,Issue(Jan.23) :42-43.

University of Louisville Reports Findings in Idiopathic Pulmonary Fibrosis (External validation of Fibresolve, a machine-learning algorithm, to non-invasively diagnose idiopathic pulmonary fibrosis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Lung Diseases and Conditions - Idiopathic Pulmonary Fibrosis is the subject ofa report. According to news reporting from Louisville, Kentucky, by NewsRx journalists, research stated,“Previous work has shown the ability of Fibresolve, a machine learning system, to non-invasively classify idiopathic pulmonary fibrosis (IPF) with a pre-invasive sensitivity of 53 % and specificity of 86 % versusother types of interstitial lung disease. Further external validation for the use of Fibresolve to classify IPFin patients with non-definite usual interstitial pneumonia (UIP) is needed.”

Key words

Louisville/Kentucky/United States/North and Central America/Algorithms/Biopsies/Biopsy/Cyborgs/Diagnostics and Screening/Emerging Technologies/Health and Medicine/Idiopathic Interstitial Pneumonias/Idiopathic Pulmonary Fibrosis/Lung Diseases and Conditions/Machine Learning/Operative Surgical Procedures/Pulmonary Fibrosis/Respiratory Tract Diseases and Conditions/Respirology/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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