Artificial intelligence in COPD CT images: identification, staging, and quantitation.

IF 5.8 2区医学 Q1 Medicine

Respiratory Research Pub Date : 2024-08-22 DOI:10.1186/s12931-024-02913-z

Yanan Wu, Shuyue Xia, Zhenyu Liang, Rongchang Chen, Shouliang Qi

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引用次数: 0

Abstract

Chronic obstructive pulmonary disease (COPD) stands as a significant global health challenge, with its intricate pathophysiological manifestations often demanding advanced diagnostic strategies. The recent applications of artificial intelligence (AI) within the realm of medical imaging, especially in computed tomography, present a promising avenue for transformative changes in COPD diagnosis and management. This review delves deep into the capabilities and advancements of AI, particularly focusing on machine learning and deep learning, and their applications in COPD identification, staging, and imaging phenotypes. Emphasis is laid on the AI-powered insights into emphysema, airway dynamics, and vascular structures. The challenges linked with data intricacies and the integration of AI in the clinical landscape are discussed. Lastly, the review casts a forward-looking perspective, highlighting emerging innovations in AI for COPD imaging and the potential of interdisciplinary collaborations, hinting at a future where AI doesn't just support but pioneers breakthroughs in COPD care. Through this review, we aim to provide a comprehensive understanding of the current state and future potential of AI in shaping the landscape of COPD diagnosis and management.

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慢性阻塞性肺病 CT 图像中的人工智能：识别、分期和量化。

慢性阻塞性肺病（COPD）是一项重大的全球性健康挑战，其错综复杂的病理生理表现往往需要先进的诊断策略。最近，人工智能（AI）在医学影像领域的应用，尤其是在计算机断层扫描中的应用，为慢性阻塞性肺病诊断和管理的变革提供了一条大有可为的途径。本综述深入探讨了人工智能的能力和进步，尤其关注机器学习和深度学习，以及它们在慢性阻塞性肺病识别、分期和成像表型中的应用。重点是人工智能对肺气肿、气道动力学和血管结构的洞察。此外，还讨论了与错综复杂的数据有关的挑战以及将人工智能融入临床的问题。最后，综述以前瞻性的视角，强调了人工智能在慢性阻塞性肺病成像方面的新兴创新以及跨学科合作的潜力，预示着人工智能在慢性阻塞性肺病治疗中不仅是支持，而且是突破性的先驱。通过本综述，我们旨在全面了解人工智能在塑造慢性阻塞性肺疾病诊断和管理方面的现状和未来潜力。

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

Respiratory Research RESPIRATORY SYSTEM-

CiteScore

9.70

自引率

1.70%

发文量

314

审稿时长

4-8 weeks

期刊介绍： Respiratory Research publishes high-quality clinical and basic research, review and commentary articles on all aspects of respiratory medicine and related diseases. As the leading fully open access journal in the field, Respiratory Research provides an essential resource for pulmonologists, allergists, immunologists and other physicians, researchers, healthcare workers and medical students with worldwide dissemination of articles resulting in high visibility and generating international discussion. Topics of specific interest include asthma, chronic obstructive pulmonary disease, cystic fibrosis, genetics, infectious diseases, interstitial lung diseases, lung development, lung tumors, occupational and environmental factors, pulmonary circulation, pulmonary pharmacology and therapeutics, respiratory immunology, respiratory physiology, and sleep-related respiratory problems.