Pathways to breast cancer screening artificial intelligence algorithm validation

As more artificial intelligence (AI)-enhanced mammography screening tools enter the clinical market, greater focus will be placed on external validation in diverse patient populations. In this viewpoint, we outline lessons learned from prior efforts in this field, the need to validate algorithms on...

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Veröffentlicht in:	Breast (Edinburgh) Jg. 52; S. 146 - 149
Hauptverfasser:	Lee, Christoph I., Houssami, Nehmat, Elmore, Joann G., Buist, Diana S.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier Ltd 01.08.2020 Elsevier
Schlagworte:	Algorithms Artificial intelligence Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - prevention & control Early Detection of Cancer - methods Female Humans Mammography Mammography - methods Population health Reproducibility Reproducibility of Results Screening Software Validation Transparency Validation Virtual special issue: Artificial Intelligence in Breast Cancer Care; Edited by Nehmat Houssami, Maria João Cardoso, Giuseppe Pozzi and Brigitte Seroussi Validation Screening Transparency Reproducibility Breast cancer Mammography Artificial intelligence Population health
ISSN:	0960-9776, 1532-3080, 1532-3080
Online-Zugang:	Volltext
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