Cui Xin Wu, Goudie Adrian, Blaivas Michael, Chai Young Jun, Chammas Maria Cristina, Dong Yi, Stewart Jonathon, Jiang Tian-An, Liang Ping, Sehgal Chandra M, Wu Xing-Long, Hsieh Peter Ching-Chang, Adrian Saftoiu, Dietrich Christoph F
Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Emergency, Fiona Stanley Hospital, Perth, Australia.
Ultrasound Med Biol. 2025 Mar;51(3):428-438. doi: 10.1016/j.ultrasmedbio.2024.10.016. Epub 2024 Dec 12.
Artificial intelligence (AI) is defined as the theory and development of computer systems able to perform tasks normally associated with human intelligence. At present, AI has been widely used in a variety of ultrasound tasks, including in point-of-care ultrasound, echocardiography, and various diseases of different organs. However, the characteristics of ultrasound, compared to other imaging modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), poses significant additional challenges to AI. Application of AI can not only reduce variability during ultrasound image acquisition, but can standardize these interpretations and identify patterns that escape the human eye and brain. These advances have enabled greater innovations in ultrasound AI applications that can be applied to a variety of clinical settings and disease states. Therefore, The World Federation of Ultrasound in Medicine and Biology (WFUMB) is addressing the topic with a brief and practical overview of current and potential future AI applications in medical ultrasound, as well as discuss some current limitations and future challenges to AI implementation.
人工智能（AI）的定义是能够执行通常与人类智能相关任务的计算机系统的理论与开发。目前，AI已广泛应用于各种超声任务中，包括床旁超声、超声心动图以及不同器官的各种疾病诊断。然而，与其他成像模态如计算机断层扫描（CT）和磁共振成像（MRI）相比，超声的特性给AI带来了重大的额外挑战。AI的应用不仅可以减少超声图像采集过程中的变异性，还能使这些解读标准化，并识别出人类眼睛和大脑难以察觉的模式。这些进展推动了超声AI应用的更大创新，使其能够应用于各种临床场景和疾病状态。因此，世界医学与生物学超声联合会（WFUMB）正在通过简要而实用的概述，介绍医学超声中当前及潜在的未来AI应用，并讨论AI实施目前存在的一些局限性和未来面临的挑战。
