Microsoft November 9, 2018
AI (Artificial Intelligence) and ML (Machine Learning) have shown incredible potential in healthcare across a wide range of use cases, from diagnostic imaging, to anti-fraud, resource and asset optimization, readmission prevention, behavioral analytics, medical risk analytics, claims analytics, and many more. In a series of blogs, we will share a more detailed look at the opportunities to advance AI in healthcare using blockchain for those that want a more technical deep dive. For this first post, we’ll be covering ways that using blockchain in healthcare can help build higher quality models, obtain better data, improve auditing, and protect the integrity of the models.
Why use blockchain in healthcare?
Whether you are using AI/ML to optimize your operations or to improve...
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