The University of Southampton
University of Southampton Institutional Repository

From images to outcomes: artificial intelligence-based standalone risk prediction in idiopathic pulmonary fibrosis

From images to outcomes: artificial intelligence-based standalone risk prediction in idiopathic pulmonary fibrosis
From images to outcomes: artificial intelligence-based standalone risk prediction in idiopathic pulmonary fibrosis
1073-449X
Xu, Linrui
4f89aa42-ea5e-42e7-83d1-5b724b0741de
Jones, Mark G.
a6fd492e-058e-4e84-a486-34c6035429c1
Luo, Fengming
Xu, Linrui
4f89aa42-ea5e-42e7-83d1-5b724b0741de
Jones, Mark G.
a6fd492e-058e-4e84-a486-34c6035429c1
Luo, Fengming

Xu, Linrui, Jones, Mark G. and Luo, Fengming (2026) From images to outcomes: artificial intelligence-based standalone risk prediction in idiopathic pulmonary fibrosis. American Journal of Respiratory and Critical Care Medicine, [aamag170]. (doi:10.1093/ajrccm/aamag170).

Record type: Editorial
Text
Editorial for IPF Prediction - Accepted Manuscript
Restricted to Repository staff only until 31 March 2027.
Request a copy

More information

Accepted/In Press date: 2 February 2026
e-pub ahead of print date: 31 March 2026

Identifiers

Local EPrints ID: 511525
URI: http://eprints.soton.ac.uk/id/eprint/511525
ISSN: 1073-449X
PURE UUID: 75e71e03-d7c5-4d6a-9e5c-5f8dc53c93b7
ORCID for Mark G. Jones: ORCID iD orcid.org/0000-0001-6308-6014

Catalogue record

Date deposited: 18 May 2026 17:00
Last modified: 19 May 2026 01:41

Export record

Altmetrics

Contributors

Author: Linrui Xu
Author: Mark G. Jones ORCID iD
Author: Fengming Luo

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×