Artificial Intelligence–Enabled Analysis of Thermography to Diagnose Acute Decompensated Heart Failure
Thermography demonstrated differences between patients with ADHF and those with other cardiological disorders. In this proof of concept, combining thermography with artificial intelligence enabled the detection of ADHF in subjects hospitalized in a cardiac care unit.
Authors
- Andrés N. Atamañuk
- Ignacio Javier Gandino (ORCID: https://orcid.org/0000-0003-3540-6169)
- Günter Ross
- Cesar Villalba
- Shannon Escalante
- Daisy Hevia Bernal
- Eduardo Perna (ORCID: https://orcid.org/0000-0002-9977-7623)
- L. Cardozo (ORCID: https://orcid.org/0000-0001-8507-2369)
- Maria Antônia de Freitas Miranda
- Diego Delgado (ORCID: https://orcid.org/0000-0001-6587-3484)
Institutions
- University Health Network (CA)
- Universidad de Buenos Aires (AR)
- Hospital Fernández (AR)
- National University of Formosa (AR)
- Sociedad Española de Cardiología (ES)
- Universidad Panamericana (GT)
Publication Details
- Journal
- JACC Advances
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1016/j.jacadv.2025.101888
- Citations
- 1
- Primary Topic
- Infrared Thermography in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 1.36