An ontology for Age-Related Macular Degeneration using ophthalmologists and language models
Abstract
We aim to support monitoring of the current guidelines and scientific evidence in the management of Age-Related Macular Degeneration (AMD) in order to augment retinal specialists to develop a clinically oriented and consensual protocol for therapeutic approaches for AMD. First, we are engineering an ontology for AMD retinal condition using information from literature, related medical ontologies and domain knowledge from ophthalmologists. Second, we augment the knowledge engineer capabilities to populate and enrich the ontology using structured knowledge extracted from medical literature with the GPT-3 language model. Third, we perform reasoning to signal to the ophthalmologist differences or inconsistencies among different clinical studies, protocols or therapeutic approaches.
Full citation
"An ontology for Age-Related Macular Degeneration using ophthalmologists and language models", Groza, Adrian, Anca Marginean and Simona Delia Nicoara, 14th Int. Conf. on Semantic Web Applications and Tools for Heath Care and Life Sciences (SWAT4LS,23), Basel, Switzerland, February 13-16 2023.