One of the biggest problems with AI solutions in healthcare right now is getting quality data that you can use to train your AI models. When you train an AI model using generic data, it is like a child trying to teach another child. For the AI models to be effective, they require the highest quality data including meta data that helps the model to understand the context of the data. This is particularly true in healthcare which has extremely complex data models, superfluous data, and unique terminology.