Yeshwant Reddy Chillakuru, Shourya Munjal, Benjamin Laguna, Timothy L Chen, Gunvant R Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid, Jae Ho Sohn
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) from a single institution...
July 12, 2021: BMC Medical Informatics and Decision Making