AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond

IF 18.9 1区医学 Q1 ENDOCRINOLOGY & METABOLISM

Nature metabolism Pub Date : 2024-11-08 DOI:10.1038/s42255-024-01165-x

AI-READI Consortium

引用次数: 0

Abstract

Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data-generation project designed to create and share a multimodal dataset optimized for artificial intelligence research in type 2 diabetes mellitus.

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AI-READI：重新思考糖尿病研究及其他领域的人工智能数据收集、准备和共享问题

在此，我们介绍人工智能糖尿病洞察力公平图集（AI-READI），这是一个多学科数据生成项目，旨在创建和共享一个多模态数据集，该数据集经过优化，可用于 2 型糖尿病的人工智能研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature metabolism ENDOCRINOLOGY & METABOLISM-

CiteScore

27.50

自引率

2.40%

发文量

170

期刊介绍： Nature Metabolism is a peer-reviewed scientific journal that covers a broad range of topics in metabolism research. It aims to advance the understanding of metabolic and homeostatic processes at a cellular and physiological level. The journal publishes research from various fields, including fundamental cell biology, basic biomedical and translational research, and integrative physiology. It focuses on how cellular metabolism affects cellular function, the physiology and homeostasis of organs and tissues, and the regulation of organismal energy homeostasis. It also investigates the molecular pathophysiology of metabolic diseases such as diabetes and obesity, as well as their treatment. Nature Metabolism follows the standards of other Nature-branded journals, with a dedicated team of professional editors, rigorous peer-review process, high standards of copy-editing and production, swift publication, and editorial independence. The journal has a high impact factor, has a certain influence in the international area, and is deeply concerned and cited by the majority of scholars.