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

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

Publikováno v: JAMA Network Open

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 evalua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c12077daf27f336825279d2831286b1
https://doi.org/10.1001/jamanetworkopen.2020.0265

Estimation of Local Conduction Velocity from Myocardium Activation Time: Application to Cardiac Resynchronization Therapy

Autor: Yaroslav Nikulin, Antonio Berruezo, Tiziano Passerini, Oscar Camara, David Soto-Iglesias, Thomas S. Pheiffer, Marta Sitges, Julian Krebs, Tommaso Mansi

Publikováno v: Functional Imaging and Modelling of the Heart ISBN: 9783319594477
FIMH

As models of cardiac electrophysiology (EP) are maturing, an increasing effort is being put in their translation to the bed side, in particular for abnormal cardiac rhythm diagnosis and therapy planning. However, the parameters that govern these mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9340e99d11569a2b8343385ac57741dc
https://doi.org/10.1007/978-3-319-59448-4_23