The use of artificial intelligence (AI) in health care has generated tremendous interest within orthopaedics [10, 11, 13, 18, 23]. The promise of machine learning or so-called adaptive algorithms that can, for instance, predict the need for (and longevity of) joint replacement in specific patients by analyzing enormous datasets [5, 17] has captured the imagination of software developers, device makers, and healthcare providers who are racing to design such systems.
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