Generative artificial intelligence model for simulating structural brain changes in schizophrenia
The results suggest that our generative AI model can capture subtle changes in brain structures associated with SZ, providing a novel tool for visualizing brain changes in different diseases. The potential of this model extends beyond clinical diagnosis to advances in the simulation of disease mechanisms, which may ultimately contribute to the refinement of therapeutic strategies.
Authors
- Yuichi Yamashita (ORCID: https://orcid.org/0000-0002-2779-8222)
- Hiroyuki Yamaguchi (ORCID: https://orcid.org/0000-0002-4557-4804)
- Genichi Sugihara (ORCID: https://orcid.org/0000-0002-0060-0538)
- Masaaki Shimizu
Institutions
- Tokyo Medical and Dental University (JP)
- National Center of Neurology and Psychiatry (JP)
- Yokohama City University (JP)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2024-10-04
- DOI
- https://doi.org/10.3389/fpsyt.2024.1437075
- Citations
- 5
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.74
Funders
- National Center of Neurology and Psychiatry
- Japan Society for the Promotion of Science
- Core Research for Evolutional Science and Technology