Fetal origins of adult disease: transforming prenatal care by integrating Barker's Hypothesis with AI-driven 4D ultrasound.

IF 1.4 4区 医学 Q3 OBSTETRICS & GYNECOLOGY Journal of Perinatal Medicine Pub Date : 2025-04-08 Print Date: 2025-05-26 DOI:10.1515/jpm-2024-0617
Wiku Andonotopo, Muhammad Adrianes Bachnas, Muhammad Ilham Aldika Akbar, Muhammad Alamsyah Aziz, Julian Dewantiningrum, Mochammad Besari Adi Pramono, Sri Sulistyowati, Milan Stanojevic, Asim Kurjak
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Abstract

Introduction: The fetal origins of adult disease, widely known as Barker's Hypothesis, suggest that adverse fetal environments significantly impact the risk of developing chronic diseases, such as diabetes and cardiovascular conditions, in adulthood. Recent advancements in 4D ultrasound (4D US) and artificial intelligence (AI) technologies offer a promising avenue for improving prenatal diagnostics and validating this hypothesis. These innovations provide detailed insights into fetal behavior and neurodevelopment, linking early developmental markers to long-term health outcomes.

Content: This study synthesizes contemporary developments in AI-enhanced 4D US, focusing on their roles in detecting fetal anomalies, assessing neurodevelopmental markers, and evaluating congenital heart defects. The integration of AI with 4D US allows for real-time, high-resolution visualization of fetal anatomy and behavior, surpassing the diagnostic precision of traditional methods. Despite these advancements, challenges such as algorithmic bias, data diversity, and real-world validation persist and require further exploration.

Summary: Findings demonstrate that AI-driven 4D US improves diagnostic sensitivity and accuracy, enabling earlier detection of fetal abnormalities and optimization of clinical workflows. By providing a more comprehensive understanding of fetal programming, these technologies substantiate the links between early-life conditions and adult health outcomes, as proposed by Barker's Hypothesis.

Outlook: The integration of AI and 4D US has the potential to revolutionize prenatal care, paving the way for personalized maternal-fetal healthcare. Future research should focus on addressing current limitations, including ethical concerns and accessibility challenges, to promote equitable implementation. Such advancements could significantly reduce the global burden of chronic diseases and foster healthier generations.

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成人疾病的胎儿起源:将巴克假说与人工智能驱动的四维超声相结合,改变产前护理。
成人疾病的胎儿起源,被广泛称为巴克假说,表明不良的胎儿环境显著影响成年后患慢性疾病的风险,如糖尿病和心血管疾病。4D超声(4D US)和人工智能(AI)技术的最新进展为改善产前诊断和验证这一假设提供了有前途的途径。这些创新为胎儿行为和神经发育提供了详细的见解,将早期发育标志与长期健康结果联系起来。内容:本研究综合了人工智能增强四维超声的最新进展,重点介绍了其在胎儿异常检测、神经发育标志物评估和先天性心脏缺陷评估中的作用。人工智能与4D US的集成可以实现胎儿解剖和行为的实时、高分辨率可视化,超越了传统方法的诊断精度。尽管取得了这些进步,但算法偏差、数据多样性和现实验证等挑战仍然存在,需要进一步探索。研究结果表明,人工智能驱动的4D US提高了诊断的敏感性和准确性,能够更早地发现胎儿异常并优化临床工作流程。通过提供对胎儿编程的更全面的理解,这些技术证实了巴克假说所提出的早期生活条件与成年健康结果之间的联系。展望:人工智能和4D US的整合有可能彻底改变产前护理,为个性化母婴保健铺平道路。未来的研究应侧重于解决当前的限制,包括伦理问题和可及性挑战,以促进公平实施。这些进步可以显著减轻慢性病的全球负担,培养更健康的后代。
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来源期刊
Journal of Perinatal Medicine
Journal of Perinatal Medicine 医学-妇产科学
CiteScore
4.40
自引率
8.30%
发文量
183
审稿时长
4-8 weeks
期刊介绍: The Journal of Perinatal Medicine (JPM) is a truly international forum covering the entire field of perinatal medicine. It is an essential news source for all those obstetricians, neonatologists, perinatologists and allied health professionals who wish to keep abreast of progress in perinatal and related research. Ahead-of-print publishing ensures fastest possible knowledge transfer. The Journal provides statements on themes of topical interest as well as information and different views on controversial topics. It also informs about the academic, organisational and political aims and objectives of the World Association of Perinatal Medicine.
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