Clinical Performance Evaluation of an Artificial Intelligence-Powered Amyloid Brain PET Quantification Method.

Seung Kwan KangMina HeoJi Yeon ChungDaewoon KimSeong A ShinHongyoon ChoiAri ChungJung-Min HaHoowon KimJae Sung Lee

Published in: Nuclear medicine and molecular imaging (2024)

BTXBrain-Amyloid outperformed SPM in clinical performance evaluation, also demonstrating superior SN and improved detection of deep brain differences. These results suggest the potential of BTXBrain-Amyloid as a valuable tool for clinical amyloid PET image evaluation.

Keyphrases

artificial intelligence
deep learning
machine learning
computed tomography
resting state
white matter
pet ct
multiple sclerosis
functional connectivity
pet imaging
brain injury
quantum dots