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- W2972130867 abstract "Nuclear cardiology has unique advantages compared to other modalities, since the image analysis is already much more automated compared to what is currently clinically performed for CT, MR, or echocardiography imaging. The diverse image and clinical data available to assess coronary disease function, perfusion, flow, and associated CT data provide new opportunities, but logistically these additional assessments increase the overall complexity of SPECT/PET reporting, necessitating additional expertise and time. The advances in artificial intelligence software can be leveraged to obtain comprehensive risk predictions and diagnoses from all available data. They will allow nuclear cardiology to retain competitive edge compared to other modalities and improve its overall clinical utility. These tools will enhance diagnosis and risk prediction beyond what is possible by subjective visual analysis and mental integration of data by physicians." @default.
- W2972130867 created "2019-09-12" @default.
- W2972130867 creator A5089319978 @default.
- W2972130867 date "2019-09-05" @default.
- W2972130867 modified "2023-09-26" @default.
- W2972130867 title "Leveraging latest computer science tools to advance nuclear cardiology" @default.
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- W2972130867 doi "https://doi.org/10.1007/s12350-019-01873-y" @default.
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