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

Schaffter, Thomas; S.M. Buist, Diana; I. Lee, Christoph; Nikulin, Yaroslav; Ribli, Dezső; Guan, Yuanfang; Lotter, William; Jie, Zequn; Du, Hao; Wang, Sijia; Feng, Jiashi; Feng, Mengling; Kim, Hyoeun; Albiol, F.; Albiol, Alberto; Morrell, Stephen; Wojna, Zbigniew; Eren Ahsen, Mehmet; Asif, Umar; Jimeno Yepes, Antonio; A.C. Yohanandan, Shivanthan; Rabinovici‐Cohen, Simona; Yi, Darvin; Hoff, Bruce; Yu, Thomas; Chaibub Neto, Elias; L. Rubin, Daniel; Lindholm, Peter; R. Margolies, Laurie; B. McBride, Russell; H. Rothstein, Joseph; Sieh, Weiva; Ben‐Ari, Rami; Harrer, Stefan; D. Trister, Andrew; Friend, Stephen; Norman, Thea; Sahiner, Berkman; Strand, Fredrik; Guinney, Justin; Stolovitzky, Gustavo; Mackey, Lester; Cahoon, Joyce; Shen, Li; Ho Sohn, Jae; Trivedi, Hari; Shen, Yiqiu; Buturović, Ljubomir; Costa Pereira, José; S. Cardoso, Jaime; Castro, Eduardo; Trygve Kalleberg, Karl; Pelka, Obioma; Nedjar, Imane; J. Geras, Krzysztof; Nensa, Felix; Goan, Ethan; Koitka, Sven; Caballero, L.; Cox, David; Krishnaswamy, Pavitra; Pandey, Gaurav; M. Friedrich, Christoph; Perrin, Dimitri; Fookes, Clinton; Shi, Bibo; Cardoso Negrie, Gerard; Kawczynski, Michael; Cho, Kyunghyun; Son Khoo, Can; Y. Lo, Joseph; Gregory Sorensen, A.; Jung, Hwejin

doi:10.1001/jamanetworkopen.2020.0265

Public

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

Published in JAMA Network Open • Mar 2, 2020

Authors:

Thomas Schaffter

Diana S.M. Buist

Christoph I. Lee

Abstract

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...

Subject

Medical physics

Mammography

Artificial intelligence

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