3 papers
cs.AI2026
An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography
Jalil Jalili, Hossein Taghizad, Anuwat Jiravarnsirikul +8
Large language models (LLMs) show promise in medical image interpretation but suffer from hallucination, limited accuracy, and run-to-run inconsistency. We developed and validated…
q-bio.QM2025
Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal Large Language Model
Jalil Jalili, Yashraj Gavhane, Evan Walker +11
Objective: 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 clin…
eess.IV2024
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
Jiayi Wang, Yi-An Mao, Xiaoyu Ma +8
Optic nerve head (ONH) detection has been a crucial area of study in ophthalmology for years. However, the significant discrepancy between fundus image datasets, each generated usi…