Not logged in Triaging mammography with artificial intelligence: an implementation study Friedewald, Sarah M.; Sieniek, Marcin; Jansen, Sunny; Mahvar, Fereshteh; Kohlberger, Timo; Schacht, David; Bhole, Sonya; Gupta, Dipti; Prabhakara, Shruthi; Mckinney, Scott Mayer; Caron, Stacey; Melnick, David; Etemadi, Mozziyar; Winter, Samantha; Saensuksopa, Thidanun; Maciel, Alejandra; Speroni, Luca; Sevenich, Martha; Agharwal, Arnav; Zhang, Rubin; Duggan, Gavin; Kadowaki, Shiro; Kiraly, Atilla P.; Yang, Jie; Mustafa, Basil; Matias, Yossi; Corrado, Greg S.; Tse, Daniel; Eswaran, Krish; Shetty, Shravya Share Save
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians Dvijotham, Krishnamurthy (Dj); Winkens, Jim; Barsbey, Melih; Ghaisas, Sumedh; Stanforth, Robert; Pawlowski, Nick; Strachan, Patricia; Ahmed, Zahra; Azizi, Shekoofeh; Bachrach, Yoram; Culp, Laura; Daswani, Mayank; Freyberg, Jan; Kelly, Christopher; Kiraly, Atilla; Kohlberger, Timo; McKinney, Scott; Mustafa, Basil; Natarajan, Vivek; Geras, Krzysztof; Witowski, Jan; Qin, Zhi Zhen; Creswell, Jacob; Shetty, Shravya; Sieniek, Marcin; Spitz, Terry; Corrado, Greg; Kohli, Pushmeet; Cemgil, Taylan; Karthikesalingam, Alan Share Save
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists Kazemzadeh, Sahar; Yu, Jin; Jamshy, Shahar; Pilgrim, Rory; Nabulsi, Zaid; Chen, Christina; Beladia, Neeral; Lau, Charles; McKinney, Scott Mayer; Hughes, Thad; Kiraly, Atilla P.; Kalidindi, Sreenivasa Raju; Muyoyeta, Monde; Malemela, Jameson; Shih, Ting; Corrado, Greg S.; Peng, Lily; Chou, Katherine; Chen, Po-Hsuan Cameron; Liu, Yun; Eswaran, Krish; Tse, Daniel; Shetty, Shravya; Prabhakara, Shruthi Share Save
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Nabulsi, Zaid; Sellergren, Andrew; Jamshy, Shahar; Lau, Charles; Santos, Edward; Kiraly, Atilla P.; Ye, Wenxing; Yang, Jie; Pilgrim, Rory; Kazemzadeh, Sahar; Yu, Jin; Kalidindi, Sreenivasa Raju; Etemadi, Mozziyar; Garcia-Vicente, Florencia; Melnick, David; Corrado, Greg S.; Peng, Lily; Eswaran, Krish; Tse, Daniel; Beladia, Neeral; Liu, Yun; Chen, Po-Hsuan Cameron; Shetty, Shravya Share Save
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (vol 25, pg 954, 2019) Ardila, Diego; Kiraly, Atilla P.; Bharadwaj, Sujeeth; Choi, Bokyung; Reicher, Joshua J.; Peng, Lily; Tse, Daniel; Etemadi, Mozziyar; Ye, Wenxing; Corrado, Greg; Naidich, David P.; Shetty, Shravya Share Save
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography Ardila, Diego; Kiraly, Atilla P.; Bharadwaj, Sujeeth; Choi, Bokyung; Reicher, Joshua J.; Peng, Lily; Tse, Daniel; Etemadi, Mozziyar; Ye, Wenxing; Corrado, Greg; Naidich, David P.; Shetty, Shravya Share Save
Reproducibility of Dynamic Contrast-enhanced MR Imaging Part II. Comparison of Intra- and Interobserver Variability with Manual Region of Interest Placement versus Semiautomatic Lesion Segmentation and Histogram Analysis Heye, Tobias; Merkle, Elmar M.; Reiner, Caecilia S.; Davenport, Matthew S.; Horvath, Jeffrey J.; Feuerlein, Sebastian; Breault, Steven R.; Gall, Peter; Bashir, Mustafa R.; Dale, Brian M.; Kiraly, Atilla P.; Boll, Daniel T. Share Save
Histogram Analysis of Whole-Lesion Enhancement in Differentiating Clear Cell from Papillary Subtype of Renal Cell Cancer Chandarana, Hersh; Rosenkrantz, Andrew B.; Mussi, Thais C.; Kim, Sooah; Ahmad, Afshan A.; Raj, Sean D.; McMenamy, John; Melamed, Jonathan; Babb, James S.; Kiefer, Berthold; Kiraly, Atilla P. Share Save
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