AI requires massive amounts of data. This is particularly true for industries such as healthcare. For example, training an automatic tumor diagnostic system often requires a large database in order to capture the full spectrum of possible anatomies and pathological patterns. In order to build robust AI algorithms, hospitals and medical institutions often need to collaboratively share and combine��
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