Pathways to breast cancer screening artificial intelligence algorithm validation
Field | Value | Language |
dc.contributor.author | Lee, Christoph I | |
dc.contributor.author | Houssami, Nehmat | |
dc.contributor.author | Elmore, Joann G | |
dc.contributor.author | Buist, Diana S.M | |
dc.date.accessioned | 2021-07-29T06:18:05Z | |
dc.date.available | 2021-07-29T06:18:05Z | |
dc.date.issued | 2020 | en_AU |
dc.identifier.uri | https://hdl.handle.net/2123/25794 | |
dc.description.abstract | 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 newer screening technologies and diverse patient populations, and conclude by discussing the need for a framework for continuous monitoring and recalibration of these AI tools. Sufficient validation and continuous monitoring of emerging AI tools for breast cancer screening will require greater stakeholder engagement and the creation of shared policies and guidelines. | en_AU |
dc.language.iso | en | en_AU |
dc.publisher | Elsevier | en_AU |
dc.relation.ispartof | The Breast | en_AU |
dc.rights | Copyright All Rights Reserved | en_AU |
dc.subject | Artificial intelligence | en_AU |
dc.subject | Breast cancer | en_AU |
dc.subject | Screening | en_AU |
dc.subject | Mammography | en_AU |
dc.subject | Population health | en_AU |
dc.subject | Validation | en_AU |
dc.subject | Transparency | en_AU |
dc.subject | Reproducibility | en_AU |
dc.title | Pathways to breast cancer screening artificial intelligence algorithm validation | en_AU |
dc.type | Article | en_AU |
dc.subject.asrc | 1112 Oncology and Carcinogenesis | en_AU |
dc.subject.asrc | 1117 Public Health and Health Services | en_AU |
dc.identifier.doi | 10.1016/j.breast.2019.09.005 | |
dc.relation.other | Breast Cancer Institute P01 CA154292 | |
dc.relation.other | American Cancer Society MRSG-14-160-01-CPHPS | |
dc.relation.other | National Cancer Institute R37 CA240403 | |
dc.relation.other | National Cancer Institute (R01 CA225585; U01 CA231782; R01 CA200690; R01 CA201376) | |
dc.relation.other | Patient Centered Outcomes Research Institute (PCS-1504-30370) | |
dc.relation.other | National Cancer Institute National Cancer Institute (R01CA207375, R01CA222090, UM1 CA221940, R01 CA240375) | |
dc.relation.other | Agency for Health Care and Quality (K12 HS026369) | |
usyd.faculty | SeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Health | en_AU |
usyd.citation.volume | 52 | en_AU |
usyd.citation.spage | 146 | en_AU |
usyd.citation.epage | 149 | en_AU |
workflow.metadata.only | No | en_AU |
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