Machine learning and deep learning-based Natural Language Processing for auto-vetting the appropriateness of Lumbar Spine Magnetic Resonance Imaging Referrals

Machine learning and deep learning-based Natural Language Processing for auto-vetting the appropriateness of Lumbar Spine Magnetic Resonance Imaging Referrals

Manual vetting of radiology referrals is an essential daily task to ensure the appropriateness of the received referrals. Such tasks require sufficient clinical experience and may challenge the radiology staff. With the emerging of artificial intelligence (AI) technology and advancement in natural l...

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Bibliographic Details
Main Authors: Ali H. Alanazi, Andrea Cradock, John Ryan, Louise Rainford
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Natural language processing
Machine learning
Deep learning
Referrals' appropriateness
Magnetic resonance imaging
Lumbar spine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822001071

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http://www.sciencedirect.com/science/article/pii/S2352914822001071

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