The dawn of multimodal artificial intelligence in nephrology

被引：0
|
作者：
Benjamin Shickel
Azra Bihorac
机构：
[1] University of Florida,Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine
[2] University of Florida,Intelligent Clinical Care Center (IC3)
来源：
Nature Reviews Nephrology | 2024年 / 20卷
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D O I：
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学科分类号：
摘要：
The next generation of artificial intelligence (AI)-enabled nephrology will leverage generalist models that link diverse multimodal patient data with the linguistic and emergent capabilities of large language models. In 2023, advances in AI that linked novel unstructured data with physiological and clinical characteristics moved the field closer to realizing this vision.
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页码：79 / 80
页数：1
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