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Applications of natural language processing in ophthalmology: present and future

Frontiers in medicine, 2022-08, Vol.9, p.906554-906554

2022

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Further Reflections on the Use of Large Language Models in Pediatrics

JAMA pediatrics, 2024-06, Vol.178 (6), p.629

2024

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Development of a Semi-automated Computer-based Tool for the Quantification of Vascular Tortuosity in the Murine Retina

Ophthalmology science (Online), 2024-05, Vol.4 (3), p.100439, Article 100439

2024

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Discrepancies in Ophthalmic Medication Documentation for Glaucoma Patients

Ophthalmology science (Online), 2022-03, Vol.2 (1), p.100091-100091, Article 100091

2022

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Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment

Ophthalmology science (Online), 2021-12, Vol.1 (4), p.100070-100070, Article 100070

2021

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Prompt Engineering: Helping ChatGPT Respond Better to Patients and Parents

Journal of pediatric ophthalmology and strabismus, 2024-03, Vol.61 (2), p.148

2024

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Clinical challenge: Looking beyond blurred margins

Survey of ophthalmology, 2024-03

2024

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A comparative analysis of system features used in the TREC-COVID information retrieval challenge

Journal of biomedical informatics, 2021-05, Vol.117, p.103745-103745, Article 103745

2021

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Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology

Translational vision science & technology, 2020-02, Vol.9 (2), p.13-13

2020

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Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis

Ophthalmology (Rochester, Minn.), 2022-07, Vol.129 (7), p.e69-e76

2022

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Single-Examination Risk Prediction of Severe Retinopathy of Prematurity

Pediatrics (Evanston), 2021-12, Vol.148 (6), p.1

2021

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Early Outcomes in an Emerging Facial Nerve Center: The Oregon Health and Science University (OHSU) Experience

Annals of otology, rhinology & laryngology, 2021-05, Vol.130 (5), p.459-466

2021

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Barriers to Implementation of Teleretinal Diabetic Retinopathy Screening Programs Across the University of California

Telemedicine journal and e-health, 2023-12, Vol.29 (12), p.1810

2023

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Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression

Journal of glaucoma, 2023-03, Vol.32 (3), p.151

2023

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Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients

AMIA ... Annual Symposium proceedings, 2021, Vol.2021, p.773-782

2021

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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras

Ophthalmology retina, 2021-10, Vol.5 (10), p.1027-1035

2021

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Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis

Ophthalmology science (Online), 2022-06, Vol.2 (2), p.100126-100126

2022

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Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks

Ophthalmology science (Online), 2021-12, Vol.1 (4), p.100079-100079

2021

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Development of an Open-Source Annotated Glaucoma Medication Dataset From Clinical Notes in the Electronic Health Record

Translational vision science & technology, 2022-11, Vol.11 (11), p.20-20

2022

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Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts: A Literature Review and Quantitative Analysis

Ophthalmology science (Online), 2024-07, Vol.4 (4), p.100468-100468

2024

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Applications of Deep Learning: Automated Assessment of Vascular Tortuosity in Mouse Models of Oxygen-Induced Retinopathy

Ophthalmology science (Online), 2024-01, Vol.4 (1), p.100338-100338

2024

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Electronic health record note review in an outpatient specialty clinic: who is looking?

JAMIA open, 2021-07, Vol.4 (3), p.ooab044-ooab044

2021

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Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence

Ophthalmology science (Online), 2022-06, Vol.2 (2), p.100126, Article 100126

2022

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Deepfakes in Ophthalmology

Ophthalmology science (Online), 2021-12, Vol.1 (4), p.100079, Article 100079

2021

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Looking beyond blurred margins

Survey of ophthalmology, 2024-03

2024

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Applications of natural language processing in ophthalmology: present and future

Further Reflections on the Use of Large Language Models in Pediatrics

Development of a Semi-automated Computer-based Tool for the Quantification of Vascular Tortuosity in the Murine Retina

Discrepancies in Ophthalmic Medication Documentation for Glaucoma Patients

Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment

Prompt Engineering: Helping ChatGPT Respond Better to Patients and Parents

Clinical challenge: Looking beyond blurred margins

A comparative analysis of system features used in the TREC-COVID information retrieval challenge

Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology

Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis

Single-Examination Risk Prediction of Severe Retinopathy of Prematurity

Early Outcomes in an Emerging Facial Nerve Center: The Oregon Health and Science University (OHSU) Experience

Barriers to Implementation of Teleretinal Diabetic Retinopathy Screening Programs Across the University of California

Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression

Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients

Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis

Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks

Development of an Open-Source Annotated Glaucoma Medication Dataset From Clinical Notes in the Electronic Health Record

Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts: A Literature Review and Quantitative Analysis

Applications of Deep Learning: Automated Assessment of Vascular Tortuosity in Mouse Models of Oxygen-Induced Retinopathy

Electronic health record note review in an outpatient specialty clinic: who is looking?

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence

Deepfakes in Ophthalmology

Looking beyond blurred margins

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