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

IMPORTANCE: 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. OBJECTIVE: To evaluate whether AI can overcome human mammography inter...

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Detalles Bibliográficos
Autores principales: Schaffter, Thomas, Buist, Diana S. M., Lee, Christoph I., Nikulin, Yaroslav, Ribli, Dezső, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7052735/
https://www.ncbi.nlm.nih.gov/pubmed/32119094
http://dx.doi.org/10.1001/jamanetworkopen.2020.0265

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