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Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study.

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Title: Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study.
Authors: Elhakim MT; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark. mte@rsyd.dk.; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark. mte@rsyd.dk., Stougaard SW; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark., Graumann O; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.; Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, 8200, Aarhus N, Denmark.; Department of Clinical Research, Aarhus University, Palle Juul-Jensens Blvd. 99, 8200, Aarhus N, Denmark., Nielsen M; Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, København Ø, Denmark., Lång K; Department of Translational Medicine, Lund University, Inga Maria Nilssons gata 47, SE-20502, Malmö, Sweden.; Unilabs Mammography Unit, Skåne University Hospital, Jan Waldenströms gata 22, SE-20502, Malmö, Sweden., Gerke O; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.; Department of Nuclear Medicine, Odense University Hospital, Kløvervaenget 47, Entrance 44, 5000, Odense C, Denmark., Larsen LB; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark., Rasmussen BSB; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark.; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.; CAI-X - Centre for Clinical Artificial Intelligence, Odense University Hospital, Kløvervaenget 8C, Entrance 102, 5000, Odense C, Denmark.
Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2023 Dec 20; Vol. 23 (1), pp. 127. Date of Electronic Publication: 2023 Dec 20.
Publication Type: Multicenter Study; Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study.
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  Data: <searchLink fieldCode="AU" term="%22Elhakim+MT%22">Elhakim MT</searchLink>; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark. mte@rsyd.dk.; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark. mte@rsyd.dk.<br /><searchLink fieldCode="AU" term="%22Stougaard+SW%22">Stougaard SW</searchLink>; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.<br /><searchLink fieldCode="AU" term="%22Graumann+O%22">Graumann O</searchLink>; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.; Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, 8200, Aarhus N, Denmark.; Department of Clinical Research, Aarhus University, Palle Juul-Jensens Blvd. 99, 8200, Aarhus N, Denmark.<br /><searchLink fieldCode="AU" term="%22Nielsen+M%22">Nielsen M</searchLink>; Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, København Ø, Denmark.<br /><searchLink fieldCode="AU" term="%22Lång+K%22">Lång K</searchLink>; Department of Translational Medicine, Lund University, Inga Maria Nilssons gata 47, SE-20502, Malmö, Sweden.; Unilabs Mammography Unit, Skåne University Hospital, Jan Waldenströms gata 22, SE-20502, Malmö, Sweden.<br /><searchLink fieldCode="AU" term="%22Gerke+O%22">Gerke O</searchLink>; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.; Department of Nuclear Medicine, Odense University Hospital, Kløvervaenget 47, Entrance 44, 5000, Odense C, Denmark.<br /><searchLink fieldCode="AU" term="%22Larsen+LB%22">Larsen LB</searchLink>; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark.<br /><searchLink fieldCode="AU" term="%22Rasmussen+BSB%22">Rasmussen BSB</searchLink>; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark.; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark.; CAI-X - Centre for Clinical Artificial Intelligence, Odense University Hospital, Kløvervaenget 8C, Entrance 102, 5000, Odense C, Denmark.
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  Data: <searchLink fieldCode="JN" term="%22101172931%22">Cancer imaging : the official publication of the International Cancer Imaging Society</searchLink> [Cancer Imaging] 2023 Dec 20; Vol. 23 (1), pp. 127. <i>Date of Electronic Publication: </i>2023 Dec 20.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101172931 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1470-7330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214707330%22">14707330 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Imaging <i>Subsets: </i>MEDLINE
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              Text: 2023 Dec 20
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