What the radiologist should know about artificial intelligence – an ESR white paper
Abstract This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution. Even if AI does add significant value to image interpretation, there are implications outsid...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-04-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13244-019-0738-2 |
| _version_ | 1819101404832202752 |
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| author | European Society of Radiology (ESR) |
| author_facet | European Society of Radiology (ESR) |
| author_sort | European Society of Radiology (ESR) |
| collection | DOAJ |
| description | Abstract This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution. Even if AI does add significant value to image interpretation, there are implications outside the traditional radiology activities of lesion detection and characterisation. In radiomics, AI can foster the analysis of the features and help in the correlation with other omics data. Imaging biobanks would become a necessary infrastructure to organise and share the image data from which AI models can be trained. AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient’s protocol, tracking the patient’s dose parameters, providing an estimate of the radiation risks. AI can also aid the reporting workflow and help the linking between words, images, and quantitative data. Finally, AI coupled with CDS can improve the decision process and thereby optimise clinical and radiological workflow. |
| first_indexed | 2024-12-22T01:18:08Z |
| format | Article |
| id | doaj.art-9ae781a2e4b14ab2bdd0a47c163ef099 |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-12-22T01:18:08Z |
| publishDate | 2019-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-9ae781a2e4b14ab2bdd0a47c163ef0992022-12-21T18:43:48ZengSpringerOpenInsights into Imaging1869-41012019-04-011011810.1186/s13244-019-0738-2What the radiologist should know about artificial intelligence – an ESR white paperEuropean Society of Radiology (ESR)0European Society of RadiologyAbstract This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution. Even if AI does add significant value to image interpretation, there are implications outside the traditional radiology activities of lesion detection and characterisation. In radiomics, AI can foster the analysis of the features and help in the correlation with other omics data. Imaging biobanks would become a necessary infrastructure to organise and share the image data from which AI models can be trained. AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient’s protocol, tracking the patient’s dose parameters, providing an estimate of the radiation risks. AI can also aid the reporting workflow and help the linking between words, images, and quantitative data. Finally, AI coupled with CDS can improve the decision process and thereby optimise clinical and radiological workflow.http://link.springer.com/article/10.1186/s13244-019-0738-2Artificial intelligenceImaging informaticsRadiomicsEthical issuesComputer applications |
| spellingShingle | European Society of Radiology (ESR) What the radiologist should know about artificial intelligence – an ESR white paper Insights into Imaging Artificial intelligence Imaging informatics Radiomics Ethical issues Computer applications |
| title | What the radiologist should know about artificial intelligence – an ESR white paper |
| title_full | What the radiologist should know about artificial intelligence – an ESR white paper |
| title_fullStr | What the radiologist should know about artificial intelligence – an ESR white paper |
| title_full_unstemmed | What the radiologist should know about artificial intelligence – an ESR white paper |
| title_short | What the radiologist should know about artificial intelligence – an ESR white paper |
| title_sort | what the radiologist should know about artificial intelligence an esr white paper |
| topic | Artificial intelligence Imaging informatics Radiomics Ethical issues Computer applications |
| url | http://link.springer.com/article/10.1186/s13244-019-0738-2 |
| work_keys_str_mv | AT europeansocietyofradiologyesr whattheradiologistshouldknowaboutartificialintelligenceanesrwhitepaper |