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ARVO Annual Meeting Abstract July 2019

Length and similarity of consecutive ophthalmology encounter notes in the electronic health record

Abigail E Huang; Michelle Hribar; Haley Lane Dusek; Isaac Goldstein; Bradley Henriksen; Wei-Chun Lin; Austin Igelman; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5497. doi:

ARVO Annual Meeting Abstract July 2019

Time-motion analysis of paper-based clinical workflows in a multi-specialty academic ophthalmology practice

Sally Liu Baxter; Helena Elizabeth Gali; Abigail E Huang; Marlene Millen; Robert El-Kareh; Eric Nudleman; Shira L Robbins; Christopher W.D. Heichel; Andrew S. Camp; Bobby S Korn; Jeffrey Ewing Lee; Don Osami Kikkawa; Christopher A. Longhurst; Michael F Chiang; Michelle Hribar; Lucila Ohno-Machado

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5505. doi:

ARVO Annual Meeting Abstract July 2019

Retinopathy of Prematurity screening criteria based on the ROPE-SOS trial in India

Nita Valikodath; Robison Vernon Paul Chan; Flavius Beca; Mohammed Mowafak Rami Allaham; Emily Cole; Joelle Hallak; J. Peter Campbell; Michael F Chiang; Parag Shah; Narendran Venkatapathy

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6522. doi:

ARVO Annual Meeting Abstract July 2019

Telemedicine for ROP Diagnosis in a Real-World System: Technical Description and Evaluation

Ian Danford; Miles F Greenwald; Susan Ostmo; Robert Schelonka; Howard S Cohen; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6531. doi:

ARVO Annual Meeting Abstract July 2019

Integrating Big Data into Ophthalmology

Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):13. doi:

ARVO Annual Meeting Abstract July 2019

Analysis of dimensionality reduction techniques in a deep convolutional neural network for the diagnosis of plus disease in retinopathy of prematurity

J. Peter Campbell; James Martin Brown; Jayashree Kalpathy-Cramer; RV Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1522. doi:

ARVO Annual Meeting Abstract July 2019

Utilization of a Deep Learning Image Assessment Tool for Epidemiologic Surveillance of Retinopathy of Prematurity

Travis Redd; J. Peter Campbell; James Martin Brown; Parag Shah; Sang Jin Kim; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1523. doi:

ARVO Annual Meeting Abstract July 2019

Electronic health records in ophthalmology: impact of scribes on office visit length, documentation time, and note length

Haley Lane Dusek; Isaac Goldstein; Michelle Hribar; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5503. doi:

ARVO Annual Meeting Abstract July 2019

Impact of electronic health record implementation on clinical workflows for ophthalmology trainees

Helena Elizabeth Gali; Sally L. Baxter; Abigail E Huang; Marlene Millen; Robert El-Kareh; Eric Nudleman; Shira L Robbins; Christopher W.D. Heichel; Andrew S. Camp; Bobby S Korn; Jeffrey Ewing Lee; Don Osami Kikkawa; Christopher A. Longhurst; Michael F Chiang; Michelle Hribar; Lucila Ohno-Machado

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5504. doi:

ARVO Annual Meeting Abstract July 2019

Deep learning for automated diagnosis of plus disease in Indian ROP patients

Jayashree Kalpathy-Cramer; James Martin Brown; Aaron S Coyner; Szu-Yeu Hu; Malika Shahrawat; Susan Ostmo; J. Peter Campbell; Robison Vernon Paul Chan; Parag Shah; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1524. doi:

ARVO Annual Meeting Abstract July 2019

Identifying Predictors of Patient no-shows in Pediatric Ophthalmology

Isaac Goldstein; Wei-Chun Lin; Leah G Reznick; Michael F Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5444. doi:

ARVO Annual Meeting Abstract July 2019

Electronic health record documentation in ophthalmology: How many prior notes do clinicians review?

Michelle Hribar; Isaac Goldstein; Jimmy Chen; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5506. doi:

ARVO Annual Meeting Abstract July 2019

Data Analytics for Prediction of Patient-Provider Interaction Time in Pediatric Ophthalmology Clinics

Wei-Chun Lin; Isaac Goldstein; Michelle Hribar; Abigail E Huang; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5510. doi:

ARVO Annual Meeting Abstract July 2019

Electronic health record practices in ophthalmology: Are notes really accessed in follow-up visits after initial documentation?

Jimmy Chen; Michelle Hribar; Isaac Goldstein; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5511. doi:

ARVO Annual Meeting Abstract July 2019

A Proposed 1 to 9 Severity Scale for Vascular Abnormalities in Retinopathy of Prematurity

Sang Jin Kim; J. Peter Campbell; James Martin Brown; Susan Ostmo; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4757. doi:

ARVO Annual Meeting Abstract July 2019

Analysis of the Imaging and Informatics Retinopathy of Prematurity (i-ROP) Vascular Severity Score in Patients with Treatment Requiring Retinopathy of Prematurity

Rene Choi; James Martin Brown; Jayashree Kalpathy-Cramer; RV Paul Chan; Susan Ostmo; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4758. doi:

ARVO Annual Meeting Abstract July 2019

Machine Learning for Prediction of Retinopathy of Prematurity Fundus Image Quality from Clinical Data

Aaron S Coyner; J. Peter Campbell; Susan Ostmo; Sang Jin Kim; Karyn E Jonas; RV Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1525. doi:

ARVO Annual Meeting Abstract July 2019

Quantitative analysis of aggressive posterior retinopathy of prematurity using deep learning

Kellyn N Smith; Sang Jin Kim; Isaac Goldstein; Susan Ostmo; RV Paul Chan; James Martin Brown; Jayashree Kalpathy-Cramer; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4759. doi:

ARVO Annual Meeting Abstract July 2019

Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening

Miles F Greenwald; Ian Danford; Malika Shahrawat; Susan Ostmo; James Martin Brown; Jayashree Kalpathy-Cramer; Robert Schelonka; Howard S Cohen; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1526. doi:

ARVO Annual Meeting Abstract July 2019

iTeleGEN: Development of a Web-Based Diabetic Retinopathy Education Module

Emily Cole; Flavius Beca; Gerardo Ledesma Gil; Daniel Oh; Andrew Zolot; Sarwar Zahid; Ru-ik Chee; Nicole K. Scripsema; Nita Valikodath; Angelica C. Scanzera; Karyn E Jonas; Jennifer I Lim; Judy E Kim; J. Peter Campbell; Michael F Chiang; RV Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5307. doi:

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Length and similarity of consecutive ophthalmology encounter notes in the electronic health record

Time-motion analysis of paper-based clinical workflows in a multi-specialty academic ophthalmology practice

Retinopathy of Prematurity screening criteria based on the ROPE-SOS trial in India

Telemedicine for ROP Diagnosis in a Real-World System: Technical Description and Evaluation

Integrating Big Data into Ophthalmology

Analysis of dimensionality reduction techniques in a deep convolutional neural network for the diagnosis of plus disease in retinopathy of prematurity

Utilization of a Deep Learning Image Assessment Tool for Epidemiologic Surveillance of Retinopathy of Prematurity

Electronic health records in ophthalmology: impact of scribes on office visit length, documentation time, and note length

Impact of electronic health record implementation on clinical workflows for ophthalmology trainees

Deep learning for automated diagnosis of plus disease in Indian ROP patients

Identifying Predictors of Patient no-shows in Pediatric Ophthalmology

Electronic health record documentation in ophthalmology: How many prior notes do clinicians review?

Data Analytics for Prediction of Patient-Provider Interaction Time in Pediatric Ophthalmology Clinics

Electronic health record practices in ophthalmology: Are notes really accessed in follow-up visits after initial documentation?

A Proposed 1 to 9 Severity Scale for Vascular Abnormalities in Retinopathy of Prematurity

Analysis of the Imaging and Informatics Retinopathy of Prematurity (i-ROP) Vascular Severity Score in Patients with Treatment Requiring Retinopathy of Prematurity

Machine Learning for Prediction of Retinopathy of Prematurity Fundus Image Quality from Clinical Data

Quantitative analysis of aggressive posterior retinopathy of prematurity using deep learning

Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening

iTeleGEN: Development of a Web-Based Diabetic Retinopathy Education Module

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