Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters
Abstract
: Interest in the application of machine learning (ML) techniques to medicine is growing fast and wide because of their ability to endow decision support systems with so-called artificial intelligence, particularly in those medical disciplines that extensively rely on digital imaging. Nonetheless, achieving a pragmatic and ecological validation of medical AI systems in real-world settings is difficult, even when these systems exhibit very high...
Paper Details
Title
Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters
Published Date
Apr 1, 2020
Volume
8
Issue
7
Pages
501 - 501
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