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Lily Peng

Showing results (21-30 of 53) with videos related to

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Nature Medicine|June 30, 2019
Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomographyDiego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, et al.
Nature Medicine|May 22, 2019
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomographyDiego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, et al.
JAMA Ophthalmology|June 14, 2019
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaVarun Gulshan, Renu P Rajan, Kasumi Widner, et al.
The British Journal of Ophthalmology|October 27, 2018
Artificial intelligence and deep learning in ophthalmologyDaniel Shu Wei Ting, Louis R Pasquale, Lily Peng, et al.
Nature Biomedical Engineering|March 30, 2022
Detection of signs of disease in external photographs of the eyes via deep learningBoris Babenko, Akinori Mitani, Ilana Traynis, et al.
Nature Medicine|May 29, 2023
Lessons learned from translating AI from development to deployment in healthcareKasumi Widner, Sunny Virmani, Jonathan Krause, et al.
Translational Vision Science & Technology|December 11, 2023
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective StudyAshish Bora, Richa Tiwari, Pinal Bavishi, et al.
Translational Vision Science & Technology|December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic RetinopathyMike Schaekermann, Naama Hammel, Michael Terry, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 23, 2013
Combined targeting of MEK and PI3K/mTOR effector pathways is necessary to effectively inhibit NRAS mutant melanoma in vitro and in vivoChristian Posch, Homayoun Moslehi, Luzviminda Feeney, et al.
JAMA|November 30, 2016
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsVarun Gulshan, Lily Peng, Marc Coram, et al.
Pageof 6

Showing results (21-30 of 53) with videos related to

Sort By:
Pageof 6
Nature Medicine|June 30, 2019
Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomographyDiego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, et al.
Nature Medicine|May 22, 2019
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomographyDiego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, et al.
JAMA Ophthalmology|June 14, 2019
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaVarun Gulshan, Renu P Rajan, Kasumi Widner, et al.
The British Journal of Ophthalmology|October 27, 2018
Artificial intelligence and deep learning in ophthalmologyDaniel Shu Wei Ting, Louis R Pasquale, Lily Peng, et al.
Nature Biomedical Engineering|March 30, 2022
Detection of signs of disease in external photographs of the eyes via deep learningBoris Babenko, Akinori Mitani, Ilana Traynis, et al.
Nature Medicine|May 29, 2023
Lessons learned from translating AI from development to deployment in healthcareKasumi Widner, Sunny Virmani, Jonathan Krause, et al.
Translational Vision Science & Technology|December 11, 2023
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective StudyAshish Bora, Richa Tiwari, Pinal Bavishi, et al.
Translational Vision Science & Technology|December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic RetinopathyMike Schaekermann, Naama Hammel, Michael Terry, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 23, 2013
Combined targeting of MEK and PI3K/mTOR effector pathways is necessary to effectively inhibit NRAS mutant melanoma in vitro and in vivoChristian Posch, Homayoun Moslehi, Luzviminda Feeney, et al.
JAMA|November 30, 2016
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsVarun Gulshan, Lily Peng, Marc Coram, et al.
Pageof 6