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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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Variations in Using Diagnosis Codes for Defining Age-Related Macular Degeneration Cohorts

Informatics (Basel), 2024-06, Vol.11 (2), p.28

2024

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Diplopia and Proptosis Secondary to Biphasic Synovial Sarcoma

Ophthalmology (Rochester, Minn.), 2024-07

2024

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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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Prompt Engineering: Helping ChatGPT Respond Better to Patients and Parents

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

2024

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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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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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

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

2021

Volltextzugriff (PDF)

Applications of Deep Learning

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

2024

Volltextzugriff (PDF)

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

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

2022

Volltextzugriff (PDF)

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Applications of natural language processing in ophthalmology: present and future

Variations in Using Diagnosis Codes for Defining Age-Related Macular Degeneration Cohorts

Diplopia and Proptosis Secondary to Biphasic Synovial Sarcoma

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

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

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

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

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?

Applications of Deep Learning

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

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