Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction
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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
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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