2023
DOI: 10.3171/2023.3.focus2352
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Critically reading machine learning literature in neurosurgery: a reader’s guide and checklist for appraising prediction models

Abstract: OBJECTIVE Machine learning (ML) has become an increasingly popular tool for use in neurosurgical research. The number of publications and interest in the field have recently seen significant expansion in both quantity and complexity. However, this also places a commensurate burden on the general neurosurgical readership to appraise this literature and decide if these algorithms can be effectively translated into practice. To this end, the authors sought to review the burgeoning neurosurgical ML literature and … Show more

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