From a limited dataset of health information collected from volunteers, should healthcare decisions be done using data augmented using generative AI?

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From a limited dataset of health information collected from volunteers, should healthcare decisions be done using data augmented using generative AI?
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Machine learning algorithms require large amounts of data for training. To compensate for this bottleneck, generative AI promises to create data nearly indistinguishable from the original to supplement the training data and train more robust models.
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Pros: We have can potentially make better healthcare decisions should the models prove fruitful.

Cons: There are problems in practice with getting generative AI to create high quality data. New data may introduce unforeseen problems into the decision-making process.
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