| dc.contributor.author | de Vries, Clarisse Florence | |
| dc.contributor.author | Colosimo, Samantha J | |
| dc.contributor.author | Boyle, Moragh | |
| dc.contributor.author | Lip, Gerald | |
| dc.contributor.author | Anderson, Lesley A | |
| dc.contributor.author | Staff, Roger T | |
| dc.contributor.author | iCAIRD Radiology Collaboration | |
| dc.date.accessioned | 2023-08-10T23:08:59Z | |
| dc.date.available | 2023-08-10T23:08:59Z | |
| dc.date.issued | 2022-12-09 | |
| dc.identifier | 223639396 | |
| dc.identifier | 24a6cef4-4680-4b6e-ad86-d15806056560 | |
| dc.identifier | 36484919 | |
| dc.identifier | 85143809629 | |
| dc.identifier.citation | de Vries , C F , Colosimo , S J , Boyle , M , Lip , G , Anderson , L A , Staff , R T & iCAIRD Radiology Collaboration 2022 , ' AI in breast screening mammography : breast screening readers' perspectives ' , Insights into Imaging , vol. 13 , no. 1 , 186 . https://doi.org/10.1186/s13244-022-01322-4 | en |
| dc.identifier.issn | 1869-4101 | |
| dc.identifier.other | ORCID: /0000-0002-1000-3649/work/124674768 | |
| dc.identifier.uri | http://aura-test.abdn.ac.uk/handle/2164/19718 | |
| dc.description | Acknowledgements We would like to thank all the survey respondents for their time and input. We would also like to thank the Scottish Breast Radiology Forum (SBRF) and British Society of Breast Radiology (BSBR) for their aid in dissemination of the survey. Furthermore, we would like to thank Dr Rumana Newlands for her advice on how to perform content analysis and report its results. iCAIRD Radiology Collaboration team members: Harrison D (iCAIRD Director), University of St Andrews. Black C, Murray A and Wilde K, University of Aberdeen. Blackwood JD, NHS Greater Glasgow and Clyde. Butterly C and Zurowski J, University of Glasgow. Eilbeck J and McSkimming C, NHS Grampian. Canon Medical Research Europe Ltd. – SHAIP platform. Funding This work is supported by the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI) [project number: 104690]. The funding source was not involved in study design; collection, analysis and interpretation of data; writing of the report; or in the decision to submit the article for publication. Author info | en |
| dc.format.extent | 7 | |
| dc.format.extent | 1216442 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Insights into Imaging | en |
| dc.subject | Mammography | en |
| dc.subject | Screening | en |
| dc.subject | Radiologist | en |
| dc.subject | Breast screening reader | en |
| dc.subject | R Medicine | en |
| dc.subject | UK Research and Innovation (UKRI) | en |
| dc.subject | 104690 | en |
| dc.subject | Supplementary Information | en |
| dc.subject.lcc | R | en |
| dc.title | AI in breast screening mammography : breast screening readers' perspectives | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen Biomedical Imaging Centre | en |
| dc.contributor.institution | University of Aberdeen.Centre for Health Data Science | en |
| dc.contributor.institution | University of Aberdeen.Institute of Medical Sciences | en |
| dc.contributor.institution | University of Aberdeen.Medical Education | en |
| dc.contributor.institution | University of Aberdeen.Relationship Management | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Medical Sciences | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Health Data Science | en |
| dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | https://doi.org/10.1186/s13244-022-01322-4 | |
| dc.identifier.vol | 13 | en |
| dc.identifier.iss | 1 | en |
