Generative artificial intelligence model for simulating structural brain changes in schizophrenia.

ABSTRACT:

Background

Recent advancements in generative artificial intelligence (AI) for image generation have presented significant opportunities for medical imaging, offering a promising way to generate realistic virtual medical images while ensuring patient privacy. The generation of a large number of virtual medical images through AI has the potential to augment training datasets for discriminative AI models, particularly in fields with limited data availability, such as neuroimaging. Current studies on generative AI in neuroimaging have mainly focused on disease discrimination; however, its potential for simulating complex phenomena in psychiatric disorders remains unknown. In this study, as examples of a simulation, we aimed to present a novel generative AI model that transforms magneti

SUBMITTER: Yamaguchi H 

PROVIDER: S-EPMC11486638 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature