Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

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.

Detalles Bibliográficos
Autores: 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 Colomer, Francisco, Albiol Colomer, 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
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/378735
Acceso en línea:http://hdl.handle.net/10261/378735
https://api.elsevier.com/content/abstract/scopus_id/85081118470
Access Level:acceso abierto
Palabra clave:http://metadata.un.org/sdg/3
Ensure healthy lives and promote well-being for all at all ages
Descripción
Sumario: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.

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