人工智能在胸部放射学中的应用：人工智能在胸部放射学中的应用：叙述性综述（人工智能在胸部放射学中的应用）。

IF 2.5 Q2 RESPIRATORY SYSTEM

Tuberculosis and Respiratory Diseases Pub Date : 2025-04-01 Epub Date: 2024-12-17 DOI:10.4046/trd.2024.0062

Woo Hyeon Lim, Hyungjin Kim

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引用次数: 0

摘要

胸部放射学是人工智能（AI）被广泛研究的主要领域。人工智能的最新进展表明，放射科医生的表现有可能得到改善。人工智能有助于异常的检测和分类，以及正常和异常解剖结构的量化。此外，它使基于这些定量值的预测成为可能。在这篇综述文章中，将回顾人工智能在胸部放射学领域的最新成就，主要集中在深度学习方面，并讨论这一前沿技术目前的局限性和未来的发展方向。

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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Application of Artificial Intelligence in Thoracic Radiology: A Narrative Review.

Thoracic radiology has emerged as a primary field in which artificial intelligence (AI) is extensively researched. Recent advancements highlight the potential to enhance radiologists' performance through AI. AI aids in detecting and classifying abnormalities, and in quantifying both normal and abnormal anatomical structures. Additionally, it facilitates prognostication by leveraging these quantitative values. This review article will discuss the recent achievements of AI in thoracic radiology, focusing primarily on deep learning, and explore the current limitations and future directions of this cutting-edge technique.

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来源期刊

Tuberculosis and Respiratory Diseases RESPIRATORY SYSTEM-

CiteScore

5.30

自引率

0.00%

发文量

审稿时长

12 weeks