会议介绍:精准医疗:利用人工智能改善诊断和医疗保健。

Q2 Computer Science
Michelle Whirl-Carrillo, Steven E Brenner, Jonathan H Chen, Dana C Crawford, Łukasz Kidziński, David Ouyang, Roxana Daneshjou
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引用次数: 0

摘要

精准医疗需要对复杂的生物医学和医疗保健数据有深刻的理解,这些数据正以指数级的速度产生,并越来越多地通过公共生物银行、电子病历系统、生物医学数据库和知识库提供。数据的复杂性和庞大的数量禁止人工操作。相反,该领域依赖于人工智能方法来解析、注释、评估和解释数据,以使应用于患者医疗保健。在2023年太平洋生物计算研讨会(PSB)题为“精准医学:使用人工智能(AI)改善诊断和医疗保健”的会议上,我们重点关注开发和应用计算方法来解决生物医学问题的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Session Introduction: Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare.

Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databases and knowledgebases. The complexity and sheer amount of data prohibit manual manipulation. Instead, the field depends on artificial intelligence approaches to parse, annotate, evaluate and interpret the data to enable applications to patient healthcare At the 2023 Pacific Symposium on Biocomputing (PSB) session entitled "Precision Medicine: Using Artificial Intelligence (AI) to improve diagnostics and healthcare", we spotlight research that develops and applies computational methodologies to solve biomedical problems.

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