Universität zu Köln

Mueller, Lukas, Kloeckner, Roman, Mildenberger, Peter and dos Santos, Daniel Pinto . Validation and implementation of artificial intelligence in radiology Quo vadis in 2022? Radiologie. HEIDELBERG: SPRINGER HEIDELBERG. ISSN 2731-7056

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Abstract

Background: The hype around artificial intelligence (AI) in radiology continues and the number of approved AI tools is growing steadily. Despite the great potential, integration into clinical routine in radiology remains limited. In addition, the large number of individual applications poses a challenge for clinical routine, as individual applications have to be selected for different questions and organ systems, which increases the complexity and time required.Objectives: This review will discuss the current status of validation and implementation of AI tools in clinical routine, and identify possible approaches for an improved assessment of the generalizability of results of AI tools.Materials and methods: A literature search in various literature and product databases as well as publications, position papers, and reports from various stakeholders was conducted for this review.Results: Scientific evidence and independent validation studies are available for only a few commercial AI tools and the generalizability of the results often remains questionable.Conclusions: One challenge is the multitude of offerings for individual, specific application areas by a large number of manufacturers, making integration into the existing site-specific IT infrastructure more difficult. Furthermore, remuneration for the use of AI tools in clinical routine by health insurance companies in Germany is lacking. But in order for reimbursement to be granted, the clinical utility of new applications must first be proven. Such proof, however, is lacking for most applications.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Mueller, Lukas UNSPECIFIED UNSPECIFIED UNSPECIFIED Kloeckner, Roman UNSPECIFIED UNSPECIFIED UNSPECIFIED Mildenberger, Peter UNSPECIFIED UNSPECIFIED UNSPECIFIED dos Santos, Daniel Pinto UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-685414
DOI:	10.1007/s00117-022-01097-1
Journal or Publication Title:	Radiologie
Publisher:	SPRINGER HEIDELBERG
Place of Publication:	HEIDELBERG
ISSN:	2731-7056
Language:	German
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ALGORITHM Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/68541