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Review
. 2021 Dec 16:8:729978.
doi: 10.3389/fmed.2021.729978. eCollection 2021.

Artificial Intelligence in Prenatal Ultrasound Diagnosis

Fujiao He  1 , Yaqin Wang  1 , Yun Xiu  1 , Yixin Zhang  1 , Lizhu Chen  1
Affiliations
Review

Artificial Intelligence in Prenatal Ultrasound Diagnosis

Fujiao He et al. Front Med (Lausanne). .

Abstract

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.

Keywords: artificial intelligence; fetus; medical imaging; prenatal diagnosis; ultrasound.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
A schematic diagram of this review AI, artificial intelligence; ML, machine learning; DL, deep learning; US, ultrasound; GS, gestational sac; NT, nuchal translucency; HC, head circumference; AC, abdominal circumference; FL, femur length; HL, humerus length; FINE, fetal intelligent navigation echocardiography.
See this image and copyright information in PMC

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