| Literature DB >> 35854041 |
Manish Motwani1,2.
Abstract
Driven by advances in computing power, the past decade has seen rapid developments in artificial intelligence (AI) which now offers potential enhancements to every aspect of nuclear cardiology workflow including acquisition, reconstruction, segmentation, direct image analysis, and interpretation; as well as facilitating clinical and imaging big-data integration for superior personalized risk stratification. To understand the relevance and potential of AI in their field, this review provides a primer for nuclear cardiologists in 2022. The aim is to explain terminology and provide a summary of key current implementations, challenges, and future aspirations of AI-based enhancements to nuclear cardiology.Entities:
Keywords: MPI; PET; SPECT; image analysis; image interpretation; image reconstruction
Year: 2022 PMID: 35854041 DOI: 10.1007/s12350-022-03049-7
Source DB: PubMed Journal: J Nucl Cardiol ISSN: 1071-3581 Impact factor: 3.872