Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mam...
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
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Author / Creator
Schaffter, Thomas , Buist, Diana S. M. , Lee, Christoph I. , Nikulin, Yaroslav , Ribli, Dezso , Guan, Yuanfang , Lotter, William , Jie, Zequn , Du, Hao , Wang, Sijia , Feng, Jiashi , Feng, Mengling , Kim, Hyo-Eun , Albiol, Francisco , Albiol, Alberto , Morrell, Stephen , Wojna, Zbigniew , Ahsen, Mehmet Eren , Asif, Umar , Jimeno Yepes, Antonio , Yohanandan, Shivanthan , Rabinovici-Cohen, Simona , Yi, Darvin , Hoff, Bruce , Yu, Thomas , Chaibub Neto, Elias , Rubin, Daniel L. , Lindholm, Peter , Margolies, Laurie R. , McBride, Russell Bailey , Rothstein, Joseph H. , Sieh, Weiva , Ben-Ari, Rami , Harrer, Stefan , Trister, Andrew , Friend, Stephen , Norman, Thea , Sahiner, Berkman , Strand, Fredrik , Guinney, Justin , Stolovitzky, Gustavo , Mackey, Lester , Cahoon, Joyce , Shen, Li , Sohn, Jae Ho , Trivedi, Hari , Shen, Yiqiu , Buturovic, Ljubomir , Pereira, Jose Costa , Cardoso, Jaime S. , Castro, Eduardo , Kalleberg, Karl Trygve , Pelka, Obioma , Nedjar, Imane , Geras, Krzysztof J. , Nensa, Felix , Goan, Ethan , Koitka, Sven , Caballero, Luis , Cox, David D. , Krishnaswamy, Pavitra , Pandey, Gaurav , Friedrich, Christoph M. , Perrin, Dimitri , Fookes, Clinton , Shi, Bibo , Cardoso Negrie, Gerard , Kawczynski, Michael , Cho, Kyunghyun , Khoo, Can Son , Lo, Joseph Y. , Sorensen, A. Gregory , Jung, Hwejin and and the DM DREAM Consortium
Publisher
United States: American Medical Association
Journal title
Language
English
Formats
Publication information
Publisher
United States: American Medical Association
Subjects
More information
Scope and Contents
Contents
Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives.
To evaluate whether AI can overcome human mammography interpretation limitations with a rigorous, unbiased evaluation of machine...
Alternative Titles
Full title
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Authors, Artists and Contributors
Author / Creator
Buist, Diana S. M.
Lee, Christoph I.
Nikulin, Yaroslav
Ribli, Dezso
Guan, Yuanfang
Lotter, William
Jie, Zequn
Du, Hao
Wang, Sijia
Feng, Jiashi
Feng, Mengling
Kim, Hyo-Eun
Albiol, Francisco
Albiol, Alberto
Morrell, Stephen
Wojna, Zbigniew
Ahsen, Mehmet Eren
Asif, Umar
Jimeno Yepes, Antonio
Yohanandan, Shivanthan
Rabinovici-Cohen, Simona
Yi, Darvin
Hoff, Bruce
Yu, Thomas
Chaibub Neto, Elias
Rubin, Daniel L.
Lindholm, Peter
Margolies, Laurie R.
McBride, Russell Bailey
Rothstein, Joseph H.
Sieh, Weiva
Ben-Ari, Rami
Harrer, Stefan
Trister, Andrew
Friend, Stephen
Norman, Thea
Sahiner, Berkman
Strand, Fredrik
Guinney, Justin
Stolovitzky, Gustavo
Mackey, Lester
Cahoon, Joyce
Shen, Li
Sohn, Jae Ho
Trivedi, Hari
Shen, Yiqiu
Buturovic, Ljubomir
Pereira, Jose Costa
Cardoso, Jaime S.
Castro, Eduardo
Kalleberg, Karl Trygve
Pelka, Obioma
Nedjar, Imane
Geras, Krzysztof J.
Nensa, Felix
Goan, Ethan
Koitka, Sven
Caballero, Luis
Cox, David D.
Krishnaswamy, Pavitra
Pandey, Gaurav
Friedrich, Christoph M.
Perrin, Dimitri
Fookes, Clinton
Shi, Bibo
Cardoso Negrie, Gerard
Kawczynski, Michael
Cho, Kyunghyun
Khoo, Can Son
Lo, Joseph Y.
Sorensen, A. Gregory
Jung, Hwejin
and the DM DREAM Consortium
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_swepub_primary_oai_swepub_ki_se_473068
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_473068
Other Identifiers
ISSN
2574-3805
E-ISSN
2574-3805
DOI
10.1001/jamanetworkopen.2020.0265