Ophthalmology Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records. June 21, 2024
Ophthalmology Prediction Models for Glaucoma in a Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative. February 6, 2024
Ophthalmology Automated Recognition of Visual Acuity Measurements in Ophthalmology Clinical Notes Using Deep Learning. October 23, 2023
Ophthalmology Predicting Glaucoma Progression to Surgery with Artificial Intelligence Survival Models. July 7, 2023
Ophthalmology Predicting near-term glaucoma progression: An artificial intelligence approach using clinical free-text notes and data from electronic health records. May 1, 2023
Ophthalmology PhacoTrainer: Deep Learning for Cataract Surgical Videos to Track Surgical Tools. March 22, 2023
Ophthalmology Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing. October 17, 2022
Health Informatics | Ophthalmology Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology exam. September 30, 2022
Ophthalmology Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With Transformers. March 31, 2022
Ophthalmology Looking for low vision: Predicting visual prognosis by fusing structured and free-text data from electronic health records. January 9, 2022
Ophthalmology PhacoTrainer: A Multicenter Study of Deep Learning for Activity Recognition in Cataract Surgical Videos. November 16, 2021