He Fujiao, Wang Yaqin, Xiu Yun, Zhang Yixin, Chen Lizhu
Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.
Front Med (Lausanne). 2021 Dec 16;8:729978. doi: 10.3389/fmed.2021.729978. eCollection 2021.
The application of artificial intelligence (AI) technology to medical imaging has resulted in great breakthroughs. Given the unique position of ultrasound (US) in prenatal screening, the research on AI in prenatal US has practical significance with its application to prenatal US diagnosis improving work efficiency, providing quantitative assessments, standardizing measurements, improving diagnostic accuracy, and automating image quality control. This review provides an overview of recent studies that have applied AI technology to prenatal US diagnosis and explains the challenges encountered in these applications.
人工智能（AI）技术在医学成像中的应用已取得了重大突破。鉴于超声（US）在产前筛查中的独特地位，人工智能在产前超声方面的研究具有实际意义，其应用于产前超声诊断可提高工作效率、提供定量评估、规范测量、提高诊断准确性并实现图像质量控制自动化。本文综述了近期将人工智能技术应用于产前超声诊断的研究，并阐述了这些应用中遇到的挑战。
