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Dataset Information

Exploration of Morphological Characteristics in Diabetic Macular Ischemia Utilizing a Large Language Model-Assisted Knowledge Graph.


ABSTRACT:

Purpose

To explore novel clinical terminologies in diabetic macular ischemia (DMI) using a large language model-assisted knowledge graph (KG) constructed from published literature and to validate the findings using clinical data.

Design

A review incorporating KG construction and subsequent exploration of clinical terminologies, validated in an observational cohort study.

Participants

Sixty-six original and review articles on DMI published between July 2008 and March 2025 were identified through PubMed, MEDLINE, and Embase. Validation was performed using data from 156 eyes of 156 patients with vision-threatening DMI.

Methods

Using generative pre-trained transformer 4, article texts were processed into entity-relation triplets. Entities were annotated with 13 pre

SUBMITTER: Yoshida M 

PROVIDER: S-EPMC12925149 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature