Article

Evaluating a Multi-Modal Large Language Model for Ophthalmology Triage

2025-09-18

Abstract excerpt

<h4>Background: </h4> /Purpose: Ophthalmic triage is challenging for non-specialists due to limited training and rising global eye disease burden. This study evaluates a multimodal frame-work integrating clinical text and ophthalmic imaging with large language models (LLMs). Hallucination detection and chain-of-thought (CoT) reasoning were incorporated to improve diagnostic accuracy. <h4>Methods:</h4> A dataset of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 41d8317b-762c-5763-a5ec-25cf6ae9d164
DOI: 10.20944/preprints202509.1349.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluating a Multi-Modal Large Language Model for Ophthalmology TriageDOI 10.20944/preprints202509.1349.v1Read

How Far Have Large Language Models Advanced in Ophthalmology? A Systematic Review of Their Development, Evaluation, and Readiness for Clinical UseSemantic proximity Read

How Far Have Large Language Models Advanced in Ophthalmology? A Systematic Review of Their Development, Evaluation, and Readiness for Clinical UseSemantic proximity Read

Benchmark Evaluation of Multi-Modal Large Language Models for Ophthalmic DiagnosisSemantic proximity Read

Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical ImplicationsSemantic proximity Read

ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case ReportsSemantic proximity Read

AI Performance on Image-based Medical Case Scenarios: A Cross-Sectional Comparative StudySemantic proximity Read

Enhancing Medical Imaging Diagnostics Through Large Language Model-Based Knowledge IntegrationSemantic proximity Read

An Adaptive Foundation Model with Evidence-based Clinical Reasoning for GastroenterologySemantic proximity Read

Comparative Analysis of GPT-4Vision, GPT-4 and Open Source LLMs in Clinical Diagnostic Accuracy: A Benchmark Against Human ExpertiseSemantic proximity Read

Grounded large language models for diagnostic prediction in real-world emergency department settingsSemantic proximity Read

Comparative Analysis of Multimodal Large Language Models GPT-4o and o1 vs Clinicians in Clinical Case Challenge QuestionsSemantic proximity Read

OphAgent: A Generalisable Ophthalmic Agentic System for Global Eye CareSemantic proximity Read