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- W2485890236 abstract "Artificial intelligence methods, including clinical decision support systems will continue to evolve with, and adapt to, nuclear cardiology and the changing needs of physicians in specific, and to nuclear medicine technology and the health care system in general. The high level of automation already achieved in myocardial perfusion imaging is unmatched by any other cardiac imaging modality, and continues to be its major strength. In addition, strong statistical evaluations of the accuracy and validity of the various techniques have been made possible simply because of the large amount of objectivity and standardization in the automated processes. These strengths when applied to decision support systems that are affordable and easily accessible should allow most nuclear cardiology physicians to perform at a high level of expertise when interpreting imaging studies to demonstrate the value of nuclear cardiology in patient management, and most importantly, to maintain the highest quality clinical care." @default.
- W2485890236 created "2016-08-23" @default.
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- W2485890236 date "2015-10-01" @default.
- W2485890236 modified "2023-09-25" @default.
- W2485890236 title "Use of Artificial Intelligence Including Decision Support Systems in Cardiac Imaging" @default.
- W2485890236 doi "https://doi.org/10.1093/med/9780199392094.003.0030" @default.
- W2485890236 hasPublicationYear "2015" @default.
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