Tag Archives: BOS

Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation

Posted on 15 March 2018 by Tom Van Rossom • 0 Comments

Acad Radiol. 2018 Feb 19. pii: S1076-6332(18)30027-8

Authors

Barbosa EJM Jr, Lanclus M, Vos W, Van Holsbeke C, De Backer W, De Backer J, Lee J

Machine learning algorithms could predict onset of ‘popcorn lung’ post-transplant

Posted on 1 March 2018 by Tom Van Rossom • 0 Comments

Our Functional Respiratory Imaging technology including AI is well on its way to significantly help lung transplant patients. Excellent collaboration with Dr Barbosa from University of Pennsylvania! Read more here! Continue Reading

Accurate Prediction of Lung Transplant Rejection by Combining Functional Respiratory Imaging (FRI) with Machine Learning

Posted on 24 July 2017 by Jan De Backer • 0 Comments

Chronic rejection or Bronchiolitis Obliterans Syndrome (BOS) remains the most important cause of death in lung transplant patients. Diagnosing BOS today is challenging due to the lack of sensitive lung function measurements. Spirometry only offers an overall assessment of the lung function without revealing any regional information. FLUIDDA’s FRI technology has proven to yield accurate… Continue Reading