Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal Large Language Model

To develop an explainable multimodal large language model (MM-LLM) that (1) screens optic nerve head (ONH) OCT circle scans for quality and (2) generates structured clinical reports that include glaucoma diagnosis and sector-wise retinal nerve fiber layer (RNFL) thinning assessments. Retrospective c...

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Veröffentlicht in:	ArXiv.org
Hauptverfasser:	Jalili, Jalil, Gavhane, Yashraj, Walker, Evan, Heinke, Anna, Bowd, Christopher, Belghith, Akram, Fazio, Massimo A, Girkin, Christopher A, De Moraes, C Gustavo, Liebmann, Jeffrey M, Baxter, Sally L, Weinreb, Robert N, Zangwill, Linda M, Christopher, Mark
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.10.2025
Schlagworte:	glaucoma detection quality triage multimodal large language model optical coherence tomography clinical report generation AI retinal nerve fiber layer Llama 3.2
ISSN:	2331-8422, 2331-8422
Online-Zugang:	Volltext
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