Cardiovascular device infections
Diagnostic accuracy of radiomics applied to FDG-PET for CVDIs, compared with conventional visual and semiquantitative interpretation.
Performance of AI-based predictive models (combining radiomic and clinical features) for: o Distinguishing infection vs. non-infection. o Predicting resolution of infection and supporting discontinuation of suppressive antimicrobial therapy., Characterization of physiological 18F-FDG uptake patterns in cardiovascular device carriers without infection, stratified by sex and time since implantation.
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