L
Lily Peng
Researcher at Google
Publications - 105
Citations - 16675
Lily Peng is an academic researcher from Google. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 36, co-authored 83 publications receiving 10515 citations. Previous affiliations of Lily Peng include University of California, San Francisco & University of California, Berkeley.
Papers
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Journal ArticleDOI
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan,Lily Peng,Marc Coram,Martin C. Stumpe,Derek Wu,Arunachalam Narayanaswamy,Subhashini Venugopalan,Kasumi Widner,Tom Madams,Jorge Cuadros,Ramasamy Kim,Rajiv Raman,Philip C. Nelson,Jessica L. Mega,Dale R. Webster +14 more
TL;DR: An algorithm based on deep machine learning had high sensitivity and specificity for detecting referable diabetic retinopathy and diabetic macular edema in retinal fundus photographs from adults with diabetes.
Journal ArticleDOI
International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney,Marcin Sieniek,Varun Godbole,Jonathan Godwin,Natasha Antropova,Hutan Ashrafian,Trevor Back,Mary Chesus,Greg C. Corrado,Ara Darzi,Mozziyar Etemadi,Florencia Garcia-Vicente,Fiona J. Gilbert,Mark D. Halling-Brown,Demis Hassabis,Sunny Jansen,Alan Karthikesalingam,Christopher Kelly,Dominic King,Joseph R. Ledsam,David S. Melnick,Hormuz Mostofi,Lily Peng,Joshua J. Reicher,Bernardino Romera-Paredes,Richard Sidebottom,Mustafa Suleyman,Daniel Tse,Kenneth C. Young,Jeffrey De Fauw,Shravya Shetty +30 more
TL;DR: A robust assessment of the AI system paves the way for clinical trials to improve the accuracy and efficiency of breast cancer screening and using a combination of AI and human inputs could help to improve screening efficiency.
Journal ArticleDOI
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Diego Ardila,Atilla Peter Kiraly,Sujeeth Bharadwaj,Bokyung Choi,Joshua J. Reicher,Lily Peng,Daniel Tse,Mozziyar Etemadi,Wenxing Ye,Greg S. Corrado,David P. Naidich,Shravya Shetty +11 more
TL;DR: A convolutional neural network performs automated prediction of malignancy risk of pulmonary nodules in chest CT scan volumes and improves accuracy of lung cancer screening.
Journal ArticleDOI
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin,Avinash V. Varadarajan,Katy Blumer,Yun Liu,Michael V. McConnell,Greg S. Corrado,Lily Peng,Dale R. Webster +7 more
TL;DR: In this article, the authors used deep learning models trained on retinal fundus images to predict cardiovascular risk factors not previously thought to be present or quantifiable in retinal images.
Journal ArticleDOI
Predicting Cardiovascular Risk Factors in Retinal Fundus Photographs using Deep Learning
Ryan Poplin,Avinash V. Varadarajan,Katy Blumer,Yun Liu,Michael V. McConnell,Greg S. Corrado,Lily Peng,Dale R. Webster +7 more
TL;DR: Deep learning predicts, from retinal images, cardiovascular risk factors—such as smoking status, blood pressure and age—not previously thought to be present or quantifiable in these images.