Journal
JOURNAL OF NUCLEAR CARDIOLOGY
Volume -, Issue -, Pages -Publisher
SPRINGER
DOI: 10.1007/s12350-022-03049-7
Keywords
PET; SPECT; MPI; image reconstruction; image analysis; image interpretation
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This paper introduces the rapid development of artificial intelligence in nuclear cardiology in the past decade and its application in the workflow of cardiology. By explaining terminology and summarizing relevant implementations, challenges, and future expectations, it provides a primer for nuclear cardiologists.
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.
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