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.

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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
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article

AI-Generated Brain Scans for Synthetic Healthcare Data

Wai Yie Leong
2 citations
EEG and Brain-Computer Interfaces
2.86
article

AI-Generated Brain Scans for Synthetic Healthcare Data

Wai Yie Leong
article en
2 citations

Abstract

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.

INTI International University (MY)
Openalex Percentile: Top 11%
EEG and Brain-Computer Interfaces
2.86
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