How is synthetic data used in healthcare?

How is synthetic data used in healthcare?

Synthetic data is used in healthcare to create realistic datasets for training AI models without compromising patient privacy.

What are the benefits of using synthetic data over real patient data?

The benefits include enhanced privacy, reduced bias, and the ability to generate large datasets for better model training.

Can synthetic data help in clinical trials?

Yes, synthetic data can simulate patient responses and outcomes, helping to design better clinical trials and improve efficiency.

Are there any risks associated with using synthetic data?

Potential risks include the possibility of generating unrealistic data that may not accurately reflect real-world scenarios.

How do researchers ensure the quality of synthetic data?

Researchers use validation techniques and compare synthetic data against real datasets to ensure its quality and reliability.