Artificial intelligence for breast cancer screening: Opportunity or hype?
Field | Value | Language |
dc.contributor.author | Houssami, Nehmat | |
dc.contributor.author | Lee, Christoph I | |
dc.contributor.author | Buist, Diana S.M | |
dc.contributor.author | Tao, Dacheng | |
dc.date.accessioned | 2021-10-27T22:04:48Z | |
dc.date.available | 2021-10-27T22:04:48Z | |
dc.date.issued | 2017 | en_AU |
dc.identifier.uri | https://hdl.handle.net/2123/26665 | |
dc.description.abstract | Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit through early BC detection, can miss a cancer that is present or fast growing, or can result in false-positives. Efforts to improve screening outcomes have mostly focused on intensifying imaging practices (double instead of single-reading, more frequent screens, or supplemental imaging) that may add substantial resource expenditures and harms associated with population screening. Less attention has been given to making mammography screening practice ‘smarter’ or more efficient. Artificial intelligence (AI) is capable of advanced learning using large complex datasets and has the potential to perform tasks such as image interpretation. With both highly-specific capabilities, and also possible un-intended (and poorly understood) consequences, this viewpoint considers the promise and current reality of AI in BC detection. | 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 | Mammography | en_AU |
dc.subject | Population screening | en_AU |
dc.title | Artificial intelligence for breast cancer screening: Opportunity or hype? | 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.2017.09.003 | |
usyd.faculty | SeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Health | en_AU |
usyd.citation.volume | 36 | en_AU |
usyd.citation.spage | 31 | en_AU |
usyd.citation.epage | 33 | en_AU |
workflow.metadata.only | Yes | en_AU |
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