AI-Generated Brain Scans for Synthetic Healthcare Data
Artificial Intelligence (AI) has emerged as a powerful tool in generating synthetic health care data, with AI-generated brain scans becoming a pivotal focus in neuroimaging research. This paper explores the current methodologies, applications, and challenges in generating brain scan data synthetically using AI. We discuss how synthetic data can augment clinical datasets, address privacy concerns, and enhance model training for machine learning applications in healthcare. Additionally, we examine the ethical and technical challenges in ensuring data reliability and offer future perspectives on integrating AI-generated synthetic data in health care.
Authors
- Wai Yie Leong (ORCID: https://orcid.org/0000-0002-5389-1121)
Institutions
- INTI International University (MY)
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/cspa64953.2025.10933351
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.86