![]() Subsequently, the trained algorithm can be used to automatically solve the learned task upon presentation of new, unseen input data. Concretely, in the most prevalent case of supervised ML, multiple pairs of input (e.g., MR image data of the heart) and output (e.g., ground truth segmentation of the left ventricle ) are used for training. Open source programming tools, as well as greater computational power and easier data transfer facilitate the current boost in availability and productivity of AI algorithms. ![]() Relation and definition of artificial intelligence (AI), machine learning (ML), and deep learning (DL)
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