The algorithm has been trained on hundreds of thousands of non-personified data on mammography and clinical
The resulting artificial intelligenceable to notice as obvious prerequisites for the emergence of breast cancer, as well as small details - for example, a lack of iron or problems in the thyroid gland.
The researchers improved the accuracy of the algorithm by adding data on biopsy, laboratory tests, registries of cancer patients, and more to its knowledge base.
Earlier it was reported that the next health crisis could be caused by a huge amount of spam from robots, which would not allow real patients to reach the hospitals.