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Red paper plane sails away from the red risk danger for risk assessment and analysis concept.

In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care.

Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.

AI in health should be regulated, but don’t forget about the algorithms, researchers say

In machine learning, synthetic data can offer real performance improvements