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Eye (London, England)
|
November 8, 2018
Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
Rajiv Raman, Sangeetha Srinivasan, Sunny Virmani, et al.
Abdominal Imaging
|
March 18, 2008
Electronic colon-cleansing for CT colonography: diagnostic performance
Markus S Juchems, Andrea Ernst, Peter Johnson, et al.
Cerebrovascular Diseases (Basel, Switzerland)
|
October 24, 2008
Accuracy and anatomical coverage of perfusion CT assessment of the blood-brain barrier permeability: one bolus versus two boluses
Jan Willem Dankbaar, Jason Hom, Thomas Schneider, et al.
Nature Medicine
|
May 29, 2023
Lessons learned from translating AI from development to deployment in healthcare
Kasumi 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 Study
Ashish Bora, Richa Tiwari, Pinal Bavishi, et al.
The Lancet. Digital Health
|
March 11, 2022
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
Paisan Ruamviboonsuk, Richa Tiwari, Rory Sayres, et al.
The Lancet. Digital Health
|
March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora, Siva Balasubramanian, Boris Babenko, et al.
JAMA Network Open
|
March 19, 2025
Performance of a Deep Learning Diabetic Retinopathy Algorithm in India
Arthur Brant, Preeti Singh, Xiang Yin, et al.
Ophthalmology and Therapy
|
March 15, 2025
Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes
Antonio Tan-Torres, Pradeep A Praveen, Divleen Jeji, et al.
JAMA Network Open
|
November 20, 2024
Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements
Abbi Ward, Jimmy Li, Julie Wang, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Eye (London, England)
|
November 8, 2018
Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
Rajiv Raman, Sangeetha Srinivasan, Sunny Virmani, et al.
Abdominal Imaging
|
March 18, 2008
Electronic colon-cleansing for CT colonography: diagnostic performance
Markus S Juchems, Andrea Ernst, Peter Johnson, et al.
Cerebrovascular Diseases (Basel, Switzerland)
|
October 24, 2008
Accuracy and anatomical coverage of perfusion CT assessment of the blood-brain barrier permeability: one bolus versus two boluses
Jan Willem Dankbaar, Jason Hom, Thomas Schneider, et al.
Nature Medicine
|
May 29, 2023
Lessons learned from translating AI from development to deployment in healthcare
Kasumi 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 Study
Ashish Bora, Richa Tiwari, Pinal Bavishi, et al.
The Lancet. Digital Health
|
March 11, 2022
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
Paisan Ruamviboonsuk, Richa Tiwari, Rory Sayres, et al.
The Lancet. Digital Health
|
March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora, Siva Balasubramanian, Boris Babenko, et al.
JAMA Network Open
|
March 19, 2025
Performance of a Deep Learning Diabetic Retinopathy Algorithm in India
Arthur Brant, Preeti Singh, Xiang Yin, et al.
Ophthalmology and Therapy
|
March 15, 2025
Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes
Antonio Tan-Torres, Pradeep A Praveen, Divleen Jeji, et al.
JAMA Network Open
|
November 20, 2024
Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements
Abbi Ward, Jimmy Li, Julie Wang, et al.
Page
of 2