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Updated: May 14, 2026

In Vivo Multimodal Imaging and Analysis of Mouse Laser-Induced Choroidal Neovascularization Model
Published on: January 21, 2018
Application of multimodal large language models for safety indicator calculation and contraindication prediction in
Joon Yul Choi1, Doo Eun Kim2, Sung Jin Kim2
1Department of Biomedical Engineering, Yonsei University, Wonju, South Korea.
Abstract:
This study demonstrates the potential of multimodal large language models in calculating safety indicators and predicting contraindications for laser vision correction. ChatGPT-4 effectively analyzed ocular data, calculated key indicators, generated calculator codes, and outperformed traditional machine learning models and indicators in handling unstructured data and corneal topography. Its modality-independent system enabled efficient and accurate data analysis. Despite longer processing times, ChatGPT-4's performance highlights its potential as a decision-support tool, offering advancements in improving safety.
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