Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA
Radboud University Nijmegen · University of Washington Medical Center · +1 more institution
Abstract
Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI. Each section is organized into questions and statements that address key steps of the cardiac imaging workflow, including ethical, legal, and…
Citation impact
- FWCI
- 27.72
- Percentile
- 100%
- References
- 147
Authors
10- DMDomenico MastrodicasaCorresponding
Radboud University Nijmegen, University of Washington Medical Center, Radboud University Medical Center
- MVMarly van AssenCorresponding
Radboud University Nijmegen, University of Washington Medical Center, Radboud University Medical Center
- MHMerel Huisman
Radboud University Nijmegen, University of Washington Medical Center, Radboud University Medical Center
- TLTim Leiner
Radboud University Nijmegen, University of Washington Medical Center, Radboud University Medical Center
- EEEric E. Williamson
Radboud University Nijmegen, University of Washington Medical Center, Radboud University Medical Center
Topics & keywords
- Medicine
- Software deployment
- Statement (logic)
- Medical physics
- Engineering