EDITORIALS社论

A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and Prediction

M.A. Chia, Y. Zhou, and P.A. Keane

Abstract

Foundation models are a powerful tool in ophthalmology for building generalizable systems that can be efficiently applied to a range of ocular and systemic health tasks. A new foundation model for ophthalmic images demonstrates important progress, particularly through its flexible approach to multimodal training and its application to image segmentation tasks.

DOI: 10.1056/AIe2401024

全文链接：https://ai.nejm.org/doi/abs/10.1056/AIe2401024

多模态眼科图像的新基础模型：推进疾病检测和预测  

M.A. Chia, Y. Zhou, 和 P.A. Keane

摘要： 在眼科领域，基础模型是构建可泛化系统的有力工具，这些系统可以高效地应用于一系列眼部和系统性健康任务。一个新的眼科图像基础模型展示了重要的进展，特别是通过其灵活的多模态训练方法和在图像分割任务中的应用。

NEJM AI, Volume 1 No. 12 December 2024

译文来自于AI工具Kimi