Journal article
Clinical applications of artificial intelligence in radiology
British journal of radiology, Vol.96(1150), p.20221031
10/01/2023
DOI: 10.1259/bjr.20221031
PMCID: PMC10546456
PMID: 37099398
Appears in UI Libraries Support Open Access
Abstract
The rapid growth of medical imaging has placed increasing demands on radiologists. In this scenario, artificial intelligence (AI) has become an attractive partner, one that may complement case interpretation and may aid in various non-interpretive aspects of the work in the radiological clinic. In this review, we discuss interpretative and non-interpretative uses of AI in the clinical practice, as well as report on the barriers to AI’s adoption in the clinic. We show that AI currently has a modest to moderate penetration in the clinical practice, with many radiologists still being unconvinced of its value and the return on its investment. Moreover, we discuss the radiologists’ liabilities regarding the AI decisions, and explain how we currently do not have regulation to guide the implementation of explainable AI or of self-learning algorithms.
Details
- Title: Subtitle
- Clinical applications of artificial intelligence in radiology
- Creators
- Claudia Mello-Thoms - University of Iowa, RadiologyCarlos A B Mello - Centro de Informática, Universidade Federal de Pernambuco
- Resource Type
- Journal article
- Publication Details
- British journal of radiology, Vol.96(1150), p.20221031
- DOI
- 10.1259/bjr.20221031
- PMID
- 37099398
- PMCID
- PMC10546456
- NLM abbreviation
- Br J Radiol
- ISSN
- 0007-1285
- eISSN
- 1748-880X
- Publisher
- Oxford University Press
- Alternative title
- Clinical Applications of Artificial Intelligence in Radiology
- Language
- English
- Date published
- 10/01/2023
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984741056502771
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