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Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing
2021
BMC Medical Informatics and Decision Making
Background A systematic approach to MRI protocol assignment is essential for the efficient delivery of safe patient care. Advances in natural language processing (NLP) allow for the development of accurate automated protocol assignment. We aim to develop, evaluate, and deploy an NLP model that automates protocol assignment, given the clinician indication text. Methods We collected 7139 spine MRI protocols (routine or contrast) and 990 head MRI protocols (routine brain, contrast brain, or other)
doi:10.1186/s12911-021-01574-y
pmid:34253196
fatcat:iapeobf5mjekbkuf3qhhixutl4