Detection of subclinical atherosclerosis by image-based deep learning on chest X-ray
The AI-CAC model seems to accurately detect subclinical atherosclerosis on chest X-ray with high sensitivity, and to predict ASCVD events with high negative predictive value. Adoption of the AI-CAC model to refine CV risk stratification or as an opportunistic screening tool requires prospective evaluation.
Authors
- Carlo Alberto Barbano (ORCID: https://orcid.org/0000-0001-9512-0440)
- Attilio Fiandrotti (ORCID: https://orcid.org/0000-0002-9991-6822)
- Alessandro Bruno (ORCID: https://orcid.org/0000-0003-0707-6131)
- Fabrizio D’Ascenzo (ORCID: https://orcid.org/0000-0002-6646-9317)
- Mario Iannaccone (ORCID: https://orcid.org/0000-0003-0571-3918)
- Davide Tore (ORCID: https://orcid.org/0000-0002-5087-5740)
- James W. Hughes (ORCID: https://orcid.org/0000-0001-6229-7880)
- Ovidio De Filippo (ORCID: https://orcid.org/0000-0002-4915-9501)
- Alessandro Depaoli (ORCID: https://orcid.org/0000-0003-0672-6278)
- Alessandro Serafini (ORCID: https://orcid.org/0000-0002-4992-4824)
- Gaetano Maria De Ferrari (ORCID: https://orcid.org/0000-0003-4940-0876)
- Paolo Fonio (ORCID: https://orcid.org/0000-0002-1106-2990)
- Guglielmo Gallone (ORCID: https://orcid.org/0000-0001-8011-6844)
- Marco Grangetto (ORCID: https://orcid.org/0000-0002-2709-7864)
- Francesco Iodice (ORCID: https://orcid.org/0000-0003-4817-8089)
- Alberto Presta (ORCID: https://orcid.org/0000-0001-6590-3604)
- Walter Grosso Marra (ORCID: https://orcid.org/0000-0003-4554-1110)
- Michele Visciano
- Paola Gorrini
Institutions
- Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT)
- Ospedale Civile Di Ivrea (IT)
- Ospedale San Giovanni Bosco (IT)
- Department of Medical Sciences (BY)
- Candiolo Cancer Institute (IT)
- Laboratoire d'Informatique de Paris-Nord (FR)
- University of Turin (IT)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1093/ehjdh/ztaf033
- Citations
- 4
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 5.55