Is it a wild idea to train an AI model with synthetic data? Vibeke Binz Vallevik from DNV is doing a PhD on the topic of safe use of synthetic data in AI development.
Synthetic data is artificially generated to resemble real-world data. It is either structured (quantitative, tabular) or unstructured (images, text, video), and has emerged as a powerful solution to address data access challenges in the healthcare sector.
The use of AI-generated synthetic data supports use cases where data is scarce or accessing it costly. It can potentially enhance healthcare across various domains, such as clinical trials and drug development, patient care and diagnostics, personalized medicine, medical imaging, public health planning, disease outbreak prediction, resource allocation, policy impact assessment, virtual reality simulations, and academic research.
Despite its numerous potential benefits, ensuring its effective, secure, and fair use requires several critical steps. Read more: https://www.dnv.com/insights/artificial-intelligence/the-role-of-synthetic-data-in-healthcare/
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