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Review of Natural Language Processing in Radiology
- Source :
- Neuroimaging Clinics of North America. 30:447-458
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Natural language processing (NLP) is an interdisciplinary field, combining linguistics, computer science, and artificial intelligence to enable machines to read and understand human language for meaningful purposes. Recent advancements in deep learning have begun to offer significant improvements in NLP task performance. These techniques have the potential to create new automated tools that could improve clinical workflows and unlock unstructured textual information contained in radiology and clinical reports for the development of radiology and clinical artificial intelligence applications. These applications will combine the appropriate application of classic linguistic and NLP preprocessing techniques, modern NLP techniques, and modern deep learning techniques.
- Subjects :
- medicine.medical_specialty
Human language
Neuroimaging
computer.software_genre
030218 nuclear medicine & medical imaging
Task (project management)
03 medical and health sciences
0302 clinical medicine
Image Interpretation, Computer-Assisted
Humans
Medicine
Preprocessor
Radiology, Nuclear Medicine and imaging
Natural Language Processing
Interdisciplinarity
business.industry
Deep learning
General Medicine
Textual information
Workflow
Neurology (clinical)
Radiology
Artificial intelligence
Applications of artificial intelligence
business
computer
030217 neurology & neurosurgery
Natural language processing
Subjects
Details
- ISSN :
- 10525149
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Neuroimaging Clinics of North America
- Accession number :
- edsair.doi.dedup.....a6f7e47df46e618e1377ba84813ff9a3