View in EDS

Assessing the diagnostic accuracy and prognostic utility of artificial intelligence detection and grading of coronary artery calcification on nongated computed tomography (CT) thorax.

Saved in:
Bibliographic Details
Title: Assessing the diagnostic accuracy and prognostic utility of artificial intelligence detection and grading of coronary artery calcification on nongated computed tomography (CT) thorax.
Authors: Shear B; University of Bristol, Beacon House, Queens Rd, Bristol BS8 1QU, UK., Graby J; Department of Cardiology, Royal United Hospital, Combe Park, Bath, BA1 3NG, UK; Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK., Murphy D; Department of Cardiology, Royal United Hospital, Combe Park, Bath, BA1 3NG, UK; Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK., Strong K; University of Bristol, Beacon House, Queens Rd, Bristol BS8 1QU, UK., Khavandi A; Department of Cardiology, Royal United Hospital, Combe Park, Bath, BA1 3NG, UK., Burnett TA; Department of Radiology, Royal United Hospital, Combe Park, Bath, Avon, BA1 3NG, UK., Charters PFP; Department of Radiology, Royal United Hospital, Combe Park, Bath, Avon, BA1 3NG, UK., Rodrigues JCL; Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK; Department of Radiology, Royal United Hospital, Combe Park, Bath, Avon, BA1 3NG, UK. Electronic address: j.rodrigues1@nhs.net.
Source: Clinical radiology [Clin Radiol] 2025 Jun; Vol. 85, pp. 106909. Date of Electronic Publication: 2025 Mar 22.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Scientific Publications Ltd Country of Publication: England NLM ID: 1306016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-229X (Electronic) Linking ISSN: 00099260 NLM ISO Abbreviation: Clin Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1365-229X
DOI:10.1016/j.crad.2025.106909