Artificial intelligence aims to mimic human intelligence using computer systems. The intelligence is built either by self-learning algorithms using data or with the assistance of explicit domain knowledge. The algorithms then keep improving the results by learning from previous outcomes, both positive and negative. But why is it gaining traction now? One of the reasons is the availability of a huge volume of data that can be used to train the Al algorithms. In healthcare, that means data from medical records, lab tests, registries, wearable health apps and monitoring devices-social determinants of health. Another reason is the exponentially improving computing power, along with better algorithms.
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