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Jorge Cuadros

Showing results (21-30 of 29) with videos related to

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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.
Fertility and Sterility|February 8, 2014
A multicenter prospective study to assess the effect of early cleavage on embryo quality, implantation, and live-birth rateMaria José de los Santos, Gemma Arroyo, Ana Busquet, et al.
Journal of Diabetes Science and Technology|September 11, 2025
Machine Learning to Diagnose Complications of DiabetesAgatha F Scheideman, Mandy M Shao, Henry Zelada, et al.
The Lancet. Digital Health|March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learningAshish Bora, Siva Balasubramanian, Boris Babenko, et al.
Nature Communications|January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningAvinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.
The Lancet. Digital Health|March 25, 2023
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective studyBoris Babenko, Ilana Traynis, Christina Chen, et al.
The American Journal of Clinical Hypnosis|August 20, 2010
A new bioinformatics paradigm for the theory, research, and practice of therapeutic hypnosisDavid Atkinson, Salvatore Iannotti, Mauro Cozzolino, et al.
Ophthalmology. Retina|January 9, 2022
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation StudyXinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Journal of Diabetes Science and Technology|January 14, 2026
Research Code Sharing in Support of Gold Standard ScienceDavid C Klonoff, Juan Espinoza, Julia K Mader, et al.
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Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
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.
Fertility and Sterility|February 8, 2014
A multicenter prospective study to assess the effect of early cleavage on embryo quality, implantation, and live-birth rateMaria José de los Santos, Gemma Arroyo, Ana Busquet, et al.
Journal of Diabetes Science and Technology|September 11, 2025
Machine Learning to Diagnose Complications of DiabetesAgatha F Scheideman, Mandy M Shao, Henry Zelada, et al.
The Lancet. Digital Health|March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learningAshish Bora, Siva Balasubramanian, Boris Babenko, et al.
Nature Communications|January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningAvinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.
The Lancet. Digital Health|March 25, 2023
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective studyBoris Babenko, Ilana Traynis, Christina Chen, et al.
The American Journal of Clinical Hypnosis|August 20, 2010
A new bioinformatics paradigm for the theory, research, and practice of therapeutic hypnosisDavid Atkinson, Salvatore Iannotti, Mauro Cozzolino, et al.
Ophthalmology. Retina|January 9, 2022
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation StudyXinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Journal of Diabetes Science and Technology|January 14, 2026
Research Code Sharing in Support of Gold Standard ScienceDavid C Klonoff, Juan Espinoza, Julia K Mader, et al.
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