Universität zu Köln

Hempel, Johann-Martin and dos Santos, Daniel Pinto (2021). Structured reporting and artificial intelligence. Radiologe, 61 (11). S. 999 - 1005. HEIDELBERG: SPRINGER HEIDELBERG. ISSN 1432-2102

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Abstract

Background There are a multitude of application possibilities of artificial intelligence (AI) and structured reporting (SR) in radiology. The number of scientific publications have continuously increased for many years. There is an extensive portfolio of available AI algorithms for, e.g. automatic detection and preselection of pathologic patterns in images or for facilitating the reporting workflows. Even machines already use AI algorithms for improvement of operating comfort. Method The use of SR is essential especially for the extraction of automatically evaluable semantic data from radiology results reports. Regarding eligibility in certification processes, the use of SR is mandatory for the accreditation of the German Cancer Society as an oncological center or outside Germany, such as the European Cancer Center. Results The data from SR can be automatically evaluated for the purpose of patient care, research and educational purposes and quality assurance. Lack of information and a high degree of variability often hamper the extraction of valid information from free-text reports using neurolinguistic programming (NLP). Against the background of supervised training, AI algorithms or k-nearest neighbors (KNN) require a considerable amount of validated data. The semantic data from SR can also be processed by AI and used for training. Conclusion The AI and SR are separate entities within the field of radiology with mutual dependencies and significant added value. Both have a high potential for profound upcoming changes and further developments in radiology.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hempel, Johann-Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED dos Santos, Daniel Pinto UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-576110
DOI:	10.1007/s00117-021-00920-5
Journal or Publication Title:	Radiologe
Volume:	61
Number:	11
Page Range:	S. 999 - 1005
Date:	2021
Publisher:	SPRINGER HEIDELBERG
Place of Publication:	HEIDELBERG
ISSN:	1432-2102
Language:	German
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language RADIOLOGY; CLASSIFICATION Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57611