Work

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

Year: 2025

Type: article

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.

Source: npj Digital Medicine

DOI: 10.1038/s41746-025-01487-4

Authors: Joon Yul Choi, Doo Eun Kim, Sung Jin Kim, Hannuy Choi, Tae Keun Yoo

Institutions: Yonsei University, Yonsei University Mirae Campus

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,090