Artificial Intelligence as an Add-On Instrument in Fetal Ultrasound; Sonographers' and Obstetricians' Expectations.

IF 3.1 2区医学 Q2 GENETICS & HEREDITY

Prenatal Diagnosis Pub Date : 2026-09-01 Epub Date: 2026-03-30 DOI:10.1002/pd.70133

Renée M Smit, Chiara C M M Lap, Rima Arnaout, Anita J Moon-Grady, Monique C Haak

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引用次数: 0

Abstract

Objective: Artificial intelligence applications (AIA) in fetal ultrasound are rapidly evolving, yet their integration into routine clinical practice remains limited. This study explores the attitudes, expectations and concerns of obstetric sonographers and gynecologists regarding AIA as a diagnostic aid during fetal anomaly scans.

Method: An online survey was distributed to sonographers, midwives, gynecologists and fetal medicine consultants performing screening and diagnostic fetal ultrasounds in the Netherlands. The survey included demographics, current use of artificial intelligence (AI), and 22 attitudinal statements rated on acceptance, efficiency, safety, and quality. Respondents were grouped by age, AI experience, and scan type.

Results: Among 151 respondents, 47% were sonographers performing standard anomaly screening and 49% were performing diagnostic anomaly scans at tertiary-level centers. AI was already used by 62%, primarily for automated biometry. Overall, 87% supported AIA use, yet 86% emphasized retaining final clinical authority. Concerns about data security (10%) and software manipulation (12%) were minimal. While 73% of the surveyed respondents believed AIA can improve scan completeness, only 39% expect workload reduction and 70% expect improved anomaly detection.

Conclusion: Obstetric sonographers generally support AIA integration, anticipating a positive impact on screening outcomes. However, human decision-making remains essential. These insights may guide future implementation strategies and offer momentum to influence referral practices.

查看原文本刊更多论文

人工智能在胎儿超声诊断中的应用超声医师和产科医师的期望。

目的：人工智能在胎儿超声中的应用正在迅速发展，但其在常规临床实践中的应用仍然有限。本研究探讨了产科超声医师和妇科医生在胎儿异常扫描期间对AIA作为诊断辅助手段的态度、期望和关注。方法：对荷兰进行胎儿超声筛查和诊断的超声医师、助产士、妇科医生和胎儿医学顾问进行在线调查。该调查包括人口统计、人工智能（AI）的当前使用情况，以及对接受度、效率、安全性和质量进行评级的22种态度陈述。受访者按年龄、人工智能经验和扫描类型分组。结果：在151名应答者中，47%是执行标准异常筛查的超声医师，49%是在三级中心执行诊断异常扫描的超声医师。62%的受访者已经使用人工智能，主要用于自动生物识别。总体而言，87%的人支持AIA的使用，但86%的人强调保留最终的临床权威。对数据安全（10%）和软件操纵（12%）的担忧最低。虽然73%的受访者认为AIA可以提高扫描的完整性，但只有39%的人希望减少工作量，70%的人希望改善异常检测。结论：产科超声医师普遍支持AIA整合，预期会对筛查结果产生积极影响。然而，人类的决策仍然至关重要。这些见解可以指导未来的实施策略，并为影响转诊实践提供动力。

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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来源期刊

Prenatal Diagnosis 医学-妇产科学

CiteScore

5.80

自引率

13.30%

发文量

204

审稿时长

2 months

期刊介绍： Prenatal Diagnosis welcomes submissions in all aspects of prenatal diagnosis with a particular focus on areas in which molecular biology and genetics interface with prenatal care and therapy, encompassing: all aspects of fetal imaging, including sonography and magnetic resonance imaging; prenatal cytogenetics, including molecular studies and array CGH; prenatal screening studies; fetal cells and cell-free nucleic acids in maternal blood and other fluids; preimplantation genetic diagnosis (PGD); prenatal diagnosis of single gene disorders, including metabolic disorders; fetal therapy; fetal and placental development and pathology; development and evaluation of laboratory services for prenatal diagnosis; psychosocial, legal, ethical and economic aspects of prenatal diagnosis; prenatal genetic counseling