Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39900802.
- Also identified by DOI 10.1038/s41746-025-01487-4 and PMC identifier 11790861.
- Licence recorded as CC BY-NC-ND.
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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.