Natural Language Processing in Neuro-Ophthalmology

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Identifier abid-NLP-techniques-applications-limitations
Title Natural Language Processing in Neuro-Ophthalmology
Creator Areeba Abid, BS; Sachin Kedar, MD
Affiliation (AA) Medical Student, Emory University School of Medicine; (SK) Professor of Ophthalmology and Neurology, Department of Ophthalmology, Emory University School of Medicine
Subject Artificial Intelligence; Machine Learning; Natural Language Processing; Word Prediction; Word Embeddings; Sentiment Analysis
Description This video provides an overview of natural language processing (NLP) techniques, applications, and limitations in neuro-ophthalmology. NLP, a branch of artificial intelligence, enables computers to understand and analyze human language. This video discusses three types of NLP techniques: sentiment analysis, next word prediction, and word embeddings. We explore the impact of data on the resulting models. We also discuss limitations of NLP, including bias in word embeddings, hallucinations, and factual inaccuracies.
Date 2023-06
Language eng
Format video/mp4
Type Image/MovingImage
Collection Neuro-Ophthalmology Virtual Education Library: NOVEL https://NOVEL.utah.edu
Publisher North American Neuro-Ophthalmology Society
Holding Institution Spencer S. Eccles Health Sciences Library, University of Utah
Rights Management Copyright 2023. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6ahzv1j
Setname ehsl_novel_novel
ID 2296014
Reference URL https://collections.lib.utah.edu/ark:/87278/s6ahzv1j