Bridging the implementation gap of machine learning in healthcare
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DOI: 10.1136/bmjinnov-2019-000359
Abstract: Applications of machine learning on clinical data are now attaining levels of performance that match or exceed human clinicians.1–3 Fields involving image interpretation—radiology, pathology and dermatology—have led the charge due to the power of convolutional… read more here.
Keywords: machine; machine learning; learning healthcare; implementation gap ... See more keywords