用于快速部署癌症护理和肿瘤临床试验人工智能和机器学习算法的医疗保健临床数据平台

Q2 Medicine

North Carolina Medical Journal Pub Date : 2024-07-11 DOI:10.18043/001c.120572

Soma Sengupta, Rohan Rao, Zachary Kaufman, Timothy J Stuhlmiller, Kenny K. Wong, Santosh Kesari, Mark A Shapiro, Glenn A. Kramer

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引用次数: 1

摘要

xCures 平台利用先进技术，对各医疗机构的临床 EMR 数据进行汇总、组织、结构化和规范化处理，实现近乎实时的访问。该平台生成的数据格式可支持临床护理、加速研究，并促进人工智能/机器学习算法的开发，其亮点是精准肿瘤学临床决策支持算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials

The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate research, and promote artificial intelligence/ machine learning algorithm development, highlighted by a clinical decision support algorithm for precision oncology.

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来源期刊

North Carolina Medical Journal Medicine-Medicine (all)

CiteScore

1.40

自引率

0.00%

发文量

121

期刊介绍： NCMJ, the North Carolina Medical Journal, is meant to be read by everyone with an interest in improving the health of North Carolinians. We seek to make the Journal a sounding board for new ideas, new approaches, and new policies that will deliver high quality health care, support healthy choices, and maintain a healthy environment in our state.