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人工智能在胸部成像中的不断发展与新应用

Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging.

作者信息

Chang Jin Y, Makary Mina S

机构信息

Department of Radiology, The Ohio State University College of Medicine, Columbus, OH 43210, USA.

Division of Vascular and Interventional Radiology, Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.

出版信息

Diagnostics (Basel). 2024 Jul 8;14(13):1456. doi: 10.3390/diagnostics14131456.

Abstract

The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology. With the development of newer models, AI applications are demonstrating improved performance and versatile utility in the clinical setting. Thoracic imaging is an area of profound interest, given the prevalence of chest imaging and the significant health implications of thoracic diseases. This review aims to highlight the promising applications of AI within thoracic imaging. It examines the role of AI, including its contributions to improving diagnostic evaluation and interpretation, enhancing workflow, and aiding in invasive procedures. Next, it further highlights the current challenges and limitations faced by AI, such as the necessity of 'big data', ethical and legal considerations, and bias in representation. Lastly, it explores the potential directions for the application of AI in thoracic radiology.

摘要

人工智能(AI)的出现正在彻底改变医学,尤其是放射学。随着更新模型的发展,人工智能应用在临床环境中展现出了更高的性能和更广泛的用途。鉴于胸部成像的普遍性以及胸部疾病对健康的重大影响,胸部成像领域备受关注。本综述旨在突出人工智能在胸部成像中的应用前景。它探讨了人工智能的作用,包括其在改善诊断评估和解读、优化工作流程以及辅助侵入性操作方面的贡献。接下来,它进一步强调了人工智能目前面临的挑战和局限性,例如“大数据”的必要性、伦理和法律考量以及表现中的偏差。最后,它探索了人工智能在胸部放射学中的潜在应用方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db79/11240935/b52a00d6855b/diagnostics-14-01456-g001.jpg

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