Article

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology

2023-03-09

Abstract excerpt

The medical imaging community has embraced Machine Learning (ML) as evidenced by the rapid increase in the number of ML models being developed, but validating and deploying these models in the clinic remains a challenge. The engineering involved in integrating and assessing the efficacy of ML models within the clinical workflow is complex. This paper presents a general-purpose, end-to-end, clinically integrated ML...

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Literature Corpus work: b8686ead-38f3-5e72-98ec-6464d92d678d
DOI: 10.1101/2023.03.07.23286951

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