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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外文摘要：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.”

外文关键词：

LouisvilleKentuckyUnited StatesNorth and Central AmericaAlgorithmsBiopsiesBiopsyCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineIdiopathic Interstitial PneumoniasIdiopathic Pulmonary FibrosisLung Diseases and ConditionsMachine LearningOperative Surgical ProceduresPulmonary FibrosisRespiratory Tract Diseases and ConditionsRespirologySurgery

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Jan.23)