A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data

A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data

Abstract Diagnosing rare diseases remains a critical challenge in clinical practice, often requiring specialist expertise. Despite the promising potential of machine learning, the scarcity of data on rare diseases and the need for interpretable, reliable artificial intelligence (AI) models complicat...

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Main Authors: Yifan Wu, Yang Liu, Yue Yang, Michael S. Yao, Wenli Yang, Xuehui Shi, Lihong Yang, Dongjun Li, Yueming Liu, Shiyi Yin, Chunyan Lei, Meixia Zhang, James C. Gee, Xuan Yang, Wenbin Wei, Shi Gu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-58801-7
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https://doi.org/10.1038/s41467-025-58801-7

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