A novel algorithm developed using machine learning and a J-ACCESS database can estimate defect scores from myocardial perfusion single-photon emission tomography images
We created a new algorithm to estimate MPI scores using ML and the J-ACCESS database. This algorithm should provide accurate MPI interpretation even in facilities without specialist nuclear cardiologists, and might facilitate therapeutic decision-making and predict prognoses.
Authors
- Kenichi Nakajima (ORCID: https://orcid.org/0000-0001-7188-8746)
- Keisuke Kiso (ORCID: https://orcid.org/0000-0003-1938-4617)
- Yukitaka Nimura
- Tsunehiko Nishimura
Institutions
- Kanazawa University (JP)
- Kyoto Prefectural University of Medicine (JP)
- Tohoku University Hospital (JP)
- Sendai Medical Center (JP)
Publication Details
- Journal
- Annals of Nuclear Medicine
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1007/s12149-024-01971-z
- Citations
- 4
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Japan Cardiovascular Research Foundation
- Kanazawa University
- Japan Society for the Promotion of Science