关键词: artificial intelligence (AI) deep learning (DL) machine learning (ML) thorax

来  源:   DOI:10.3390/diagnostics14131456   PDF(Pubmed)

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。随着新型号的发展,人工智能应用在临床环境中表现出改进的性能和通用的实用性。胸部成像是一个令人感兴趣的领域,考虑到胸部影像学的患病率和胸部疾病对健康的重大影响。这篇综述旨在强调AI在胸部成像中的有希望的应用。它研究了人工智能的作用,包括其对改善诊断评估和解释的贡献,增强工作流程,并协助侵入性程序。接下来,它进一步强调了人工智能当前面临的挑战和局限性,例如“大数据”的必要性,道德和法律考虑,和代表性的偏见。最后,探讨了人工智能在胸部放射学中的潜在应用方向。
公众号