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Artificial Intelligence in Subspecialties
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2020
Jahr
Abstract
The present state of artificial intelligence in subspecialties is summarized to provide a backdrop for this chapter on the state of artificial intelligence in each subspecialty. First, a broad discussion of artificial intelligence application for all subspecialties reviews the main areas of focus such as use of machine and deep learning for medical image interpretation and decision support, use of artificial intelligence tools for administrative support, use of natural language processing for communication, use of artificial intelligence for data mining, and use of machine and deep learning for risk assessment and intervention. For each of the subspecialties or health care sector (such as medical education and training or health-care administration), the current published reviews and selected works are first discussed, followed by present assessment and future strategy for that subspecialty. For each subspecialty, a table of clinical relevance versus current artificial intelligence availability is presented to visualize potential application in the future.
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