Nita Valikodath - Concepedia

Author

Nita Valikodath

University of Illinois Chicago ORCID

Also Known As

N Valikodath, N. G. Valikodath, Nita G. Valikodath, Nita Valikodath

Publications

894

Citations

H-Index

Concepts

All Affiliations

University of Illinois Chicago Oregon Health & Science University National Institutes of Health University of Michigan National Eye Institute

About

Nita Valikodath is an author at University of Illinois Chicago specializing in ophthalmology, medicine, and pediatrics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	3	3	81
2	Engineering	2	2	89
3	Public Health	1	1	10
4	Emergency Medicine	1	1	10
5	Artificial Intelligence	1	1	31

Nita Valikodath

Publications

595

Citations

H-Index

Page 1

	Year	Citations
Applications of Artificial Intelligence for Retinopathy of Prematurity Screening J. Peter Campbell, Praveer Singh, Travis K. Redd, PEDIATRICS	2021	89
Agreement of Ocular Symptom Reporting Between Patient-Reported Outcomes and Medical Records Nita Valikodath, Paula Anne Newman-Casey, Paul P. Lee, JAMA Ophthalmology	2017	65
Patient Attitudes Toward Telemedicine for Diabetic Retinopathy Nita Valikodath, Thellea K. Leveque, Sophia Y. Wang, Telemedicine Journal and e-Health	2016	60
Impact of Artificial Intelligence on Medical Education in Ophthalmology Nita Valikodath, Emily Cole, Daniel Shu Wei Ting, Translational Vision Science & Technology	2021	60
Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity Jimmy Chen, Aaron S. Coyner, Susan Ostmo, Ophthalmology Retina Ocular DiseaseEngineeringMachine LearningOphthalmologyMedical Image Computing	2021	58
External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations Aaron S. Coyner, Minn Oh, Parag K. Shah, JAMA Ophthalmology	2022	44
Evaluation of Artificial Intelligence–Based Intraoperative Guidance Tools for Phacoemulsification Cataract Surgery Rogerio Garcia Nespolo, Darvin Yi, Emily Cole, JAMA Ophthalmology	2022	41
Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology Nita Valikodath, Tala Al-Khaled, Emily Cole, Journal of American Association for Pediatric Ophthalmology and Strabismus Artificial IntelligenceEngineeringOphthalmologyVisual DiagnosisEye Tracking	2021	31
Novel Image-Based Analysis for Reduction of Clinician-Dependent Variability in Measurement of the Corneal Ulcer Size Tapan P. Patel, N. Venkatesh Prajna, Sina Farsiu, Cornea	2017	29
Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia Emily Cole, Nita Valikodath, Tala Al-Khaled, Ophthalmology Science	2022	23

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