Related Experiment Video
Updated: Sep 20, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer
George Despotou1, Ioannis Korkontzelos2, Theodoros N Arvanitis1
1Institute of Digital Healthcare, WMG, University of Warwick, UK.
Background:
CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.
Objective:
An evaluation of UMLS concept sufficiency for CIG definition.
Method:
A popular guideline is mapped to UMLS concepts with NLP. Results are reviewed to evaluate gaps, and appropriateness.
Results:
A significant number of the guideline text mapped to UMLS concepts.
Conclusions:
The approach has shown promise and highlighted further challenges.
More Related Videos
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
05:56Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
Published on: April 14, 2023