Deep Learning-based Segmentation of CT Scans Predicts Disease Progression and Mortality in IPF

CONCLUSIONS: Automated models can rapidly segment IPF CT scans, providing prognostic near and long-term information, which could be used in routine clinical practice or as key trial endpoints. This article is open access and distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).PMID:38452227 | DOI:10.1164/rccm.202311-2185OC

Source: American Journal of Respiratory and Critical Care Medicine - March 7, 2024 Category: Respiratory Medicine Authors: Muhunthan Thillai Justin M Oldham Alessandro Ruggiero Fahdi Kanavati Tom McLellan Gauri Saini Simon R Johnson Francois-Xavier Ble Adnan Azim Kristoffer Ostridge Adam Platt Maria Belvisi Toby M Maher Philip L Molyneaux Source Type: research