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

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.

SUBMITTER: Choi JY 

PROVIDER: S-EPMC11790861 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature