Artificial Intelligence in COPD: New Venues to Study a Complex Disease.

Raúl San José Estépar
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Abstract

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease that can benefit from novel approaches to understanding its evolution and divergent trajectories. Artificial intelligence (AI) has revolutionized how we can use clinical, imaging, and molecular data to understand and model complex systems. AI has shown impressive results in areas related to automated clinical decision making, radiological interpretation and prognostication. The unique nature of COPD and the accessibility to well-phenotyped populations result in an ideal scenario for AI development. This review provides an introduction to AI and deep learning and presents some recent successes in applying AI in COPD. Finally, we will discuss some of the opportunities, challenges, and limitations for AI applications in the context of COPD.

慢性阻塞性肺病中的人工智能:研究复杂疾病的新途径。
慢性阻塞性肺病(COPD)是一种复杂的异质性疾病,可以通过新方法来了解其演变和不同的轨迹。人工智能(AI)彻底改变了我们利用临床、成像和分子数据来理解复杂系统并为其建模的方式。人工智能在自动临床决策、放射学解释和预后相关领域取得了令人瞩目的成果。慢性阻塞性肺病的独特性和可获得的表型良好的人群为人工智能的发展提供了理想的环境。本综述介绍了人工智能和深度学习,并介绍了最近将人工智能应用于慢性阻塞性肺病的一些成功案例。最后,我们将讨论人工智能应用于慢性阻塞性肺病的一些机遇、挑战和限制。
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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