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JAMA Ophthalmology
|
July 4, 2019
Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning
Stanford Taylor, James M Brown, Kishan Gupta, et al.
Journal of AAPOS : the Official Publication of the American Association for Pediatric Ophthalmology and Strabismus
|
April 15, 2020
Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity
Miles F Greenwald, Ian D Danford, Malika Shahrawat, et al.
Ophthalmology
|
April 8, 2023
Epidemiologic Evaluation of Retinopathy of Prematurity Severity in a Large Telemedicine Program in India Using Artificial Intelligence
Mallory A deCampos-Stairiker, Aaron S Coyner, Aditi Gupta, et al.
Ophthalmology Science
|
March 18, 2026
Quantitative Assessment of the Extent of Retinal Vascularization in Retinopathy of Prematurity
Sameera Nayak, Aaron S Coyner, Susan R Ostmo, et al.
Ophthalmology
|
September 3, 2021
Foundational Considerations for Artificial Intelligence Using Ophthalmic Images
Michael D Abràmoff, Brad Cunningham, Bakul Patel, et al.
Transactions of the American Ophthalmological Society
|
October 30, 2013
Evaluation of electronic health record implementation in ophthalmology at an academic medical center (an American Ophthalmological Society thesis)
Michael F Chiang, Sarah Read-Brown, Daniel C Tu, et al.
Ophthalmology Science
|
February 2, 2026
Automated Feature Segmentation of Ultra-Widefield OCT Images
John D Jackson, Mani K Woodward, David A Sutter, et al.
Ophthalmology Science
|
October 27, 2025
OCT-Derived Quantitative Measurement of Extent of Vascularization ("Zone") in Retinopathy of Prematurity
David A Sutter, Mani K Woodward, John Jackson, et al.
Journal of Pediatric Ophthalmology and Strabismus
|
July 21, 2021
Addressing the Third Epidemic of Retinopathy of Prematurity Through Telemedicine and Technology: A Systematic Review
Tala Al-Khaled, Nita G Valikodath, Samir N Patel, et al.
Progress in Retinal and Eye Research
|
May 4, 2019
Deep learning in ophthalmology: The technical and clinical considerations
Daniel S W Ting, Lily Peng, Avinash V Varadarajan, et al.
Page
of 24
Search research articles
Search
Showing results (181-190 of 231) with videos related to
Sort By:
Page
of 24
JAMA Ophthalmology
|
July 4, 2019
Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning
Stanford Taylor, James M Brown, Kishan Gupta, et al.
Journal of AAPOS : the Official Publication of the American Association for Pediatric Ophthalmology and Strabismus
|
April 15, 2020
Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity
Miles F Greenwald, Ian D Danford, Malika Shahrawat, et al.
Ophthalmology
|
April 8, 2023
Epidemiologic Evaluation of Retinopathy of Prematurity Severity in a Large Telemedicine Program in India Using Artificial Intelligence
Mallory A deCampos-Stairiker, Aaron S Coyner, Aditi Gupta, et al.
Ophthalmology Science
|
March 18, 2026
Quantitative Assessment of the Extent of Retinal Vascularization in Retinopathy of Prematurity
Sameera Nayak, Aaron S Coyner, Susan R Ostmo, et al.
Ophthalmology
|
September 3, 2021
Foundational Considerations for Artificial Intelligence Using Ophthalmic Images
Michael D Abràmoff, Brad Cunningham, Bakul Patel, et al.
Transactions of the American Ophthalmological Society
|
October 30, 2013
Evaluation of electronic health record implementation in ophthalmology at an academic medical center (an American Ophthalmological Society thesis)
Michael F Chiang, Sarah Read-Brown, Daniel C Tu, et al.
Ophthalmology Science
|
February 2, 2026
Automated Feature Segmentation of Ultra-Widefield OCT Images
John D Jackson, Mani K Woodward, David A Sutter, et al.
Ophthalmology Science
|
October 27, 2025
OCT-Derived Quantitative Measurement of Extent of Vascularization ("Zone") in Retinopathy of Prematurity
David A Sutter, Mani K Woodward, John Jackson, et al.
Journal of Pediatric Ophthalmology and Strabismus
|
July 21, 2021
Addressing the Third Epidemic of Retinopathy of Prematurity Through Telemedicine and Technology: A Systematic Review
Tala Al-Khaled, Nita G Valikodath, Samir N Patel, et al.
Progress in Retinal and Eye Research
|
May 4, 2019
Deep learning in ophthalmology: The technical and clinical considerations
Daniel S W Ting, Lily Peng, Avinash V Varadarajan, et al.
Page
of 24