Artificial intelligence in acute ischemic stroke subtypes according to toast classification: a comprehensive narrative review

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    Overview of Artificial_Intelligence AI can be identified as the use of any device to mimic the human cognitive process and involves learning, applying, and solving complex problems. AI comprehends several models and methods, including machine_learning (ML), deep learning (DL), and convolutional neural_networks (CNNs). DP is a subset of machine_learning that uses a layered structure of artificial neural_networks (Artificial Neuronal Networks, ANNS) inspired by the neural_network of the human brain, with the advantage of processing a greater amount of data in different formats such as video, audio, and text. The aim of DL is to . . .

     

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