Deep-learning prediction of amyloid deposition from early-phase amyloid positron emission tomography imaging

ConclusionThis study demonstrates the feasibility of an image-based deep-learning framework to predict delayed patterns of Amyloid PET uptake using only the early phase images. This AI-based image generation method has the potential to reduce scan time for amyloid PET and increase the patient throughput, without sacrificing diagnostic accuracy for amyloid positivity.
Source: Annals of Nuclear Medicine - Category: Nuclear Medicine Source Type: research