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Scalable and accurate deep learning with electronic health records.

A. Rajkomar, E. Oren, K. Chen, A. Dai, N. Hajaj, M. Hardt, P. Liu, X. Liu, J. Marcus, M. Sun, P. Sundberg, H. Yee, K. Zhang, Y. Zhang, G. Flores, G. Duggan, J. Irvine, Q. Le, K. Litsch, A. Mossin, J. Tansuwan, D. Wang, J. Wexler, J. Wilson, D. Ludwig, S. Volchenboum, K. Chou, M. Pearson, S. Madabushi, N. Shah, A. Butte, M. Howell, C. Cui, G. Corrado, and J. Dean. npj Digit. Medicine, (2018)

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Gregory S Cootsona

Gregory D S Anderson

Corrado Boeche

Corrado Nai

Corrado Wohlwend

Other publications of authors with the same name

HeAR - Health Acoustic Representations.S. Baur, Z. Nabulsi, W. Weng, J. Garrison, L. Blankemeier, S. Fishman, C. Chen, S. Kakarmath, M. Maimbolwa, N. Sanjase and 8 other author(s). CoRR, (2024)Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.A. Varadarajan, P. Bavishi, P. Raumviboonsuk, P. Chotcomwongse, S. Venugopalan, A. Narayanaswamy, J. Cuadros, K. Kanai, G. Bresnick, M. Tadarati and 8 other author(s). CoRR, (2018)Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning.B. Babenko, S. Balasubramanian, K. Blumer, G. Corrado, L. Peng, D. Webster, N. Hammel, and A. Varadarajan. CoRR, (2019)Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM.B. Li, A. Wang, P. Strachan, J. Séguin, S. Lachgar, K. Schroeder, M. Fleck, R. Wong, A. Karthikesalingam, V. Natarajan and 8 other author(s). CHI Extended Abstracts, page 88:1-88:10. ACM, (2024)Towards a Personal Health Large Language Model.J. Cosentino, A. Belyaeva, X. Liu, N. Furlotte, Z. Yang, C. Lee, E. Schenck, Y. Patel, J. Cui, L. Schneider and 24 other author(s). CoRR, (2024)Robust and Efficient Medical Imaging with Self-Supervision.S. Azizi, L. Culp, J. Freyberg, B. Mustafa, S. Baur, S. Kornblith, T. Chen, P. MacWilliams, S. Mahdavi, E. Wulczyn and 24 other author(s). CoRR, (2022)Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning.R. Poplin, A. Varadarajan, K. Blumer, Y. Liu, M. McConnell, G. Corrado, L. Peng, and D. Webster. CoRR, (2017)Detecting Anemia from Retinal Fundus Images.A. Mitani, Y. Liu, A. Huang, G. Corrado, L. Peng, D. Webster, N. Hammel, and A. Varadarajan. CoRR, (2019)Interpretable Survival Prediction for Colorectal Cancer using Deep Learning.E. Wulczyn, D. Steiner, M. Moran, M. Plass, R. Reihs, F. Tan, I. Flament-Auvigne, T. Brown, P. Regitnig, P. Chen and 13 other author(s). CoRR, (2020)Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries.S. Kazemzadeh, J. Yu, S. Jamshy, R. Pilgrim, Z. Nabulsi, C. Chen, N. Beladia, C. Lau, S. McKinney, T. Hughes and 14 other author(s). CoRR, (2021)

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Disambiguation of "Corrado, Gregory S."

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Scalable and accurate deep learning with electronic health records.

Please choose a person to relate this publication to

Gregory S Cootsona

Gregory D S Anderson

Corrado Boeche

Corrado Nai

Corrado Wohlwend

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Corrado, Gregory S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable and accurate deep learning with electronic health records.

Please choose a person to relate this publication to

Gregory S Cootsona

Gregory D S Anderson

Corrado Boeche

Corrado Nai

Corrado Wohlwend

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
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Scalable and accurate deep learning with electronic health records.