Fetomaternal Division, Department of Obstetrics and Gynecology, Medical Faculty of Sebelas Maret University, Moewardi Hospital, Solo, Surakarta, Indonesia.
Fetomaternal Division, Department of Obstetrics and Gynecology, Ekahospital BSD City, Serpong, Tangerang, Banten, Indonesia.
J Perinat Med. 2024 Oct 10;52(9):899-913. doi: 10.1515/jpm-2024-0347. Print 2024 Nov 26.
Artificial intelligence (AI) has emerged as a transformative technology in the field of healthcare, offering significant advancements in various medical disciplines, including obstetrics. The integration of artificial intelligence into 3D/4D ultrasound analysis of fetal facial profiles presents numerous benefits. By leveraging machine learning and deep learning algorithms, AI can assist in the accurate and efficient interpretation of complex 3D/4D ultrasound data, enabling healthcare providers to make more informed decisions and deliver better prenatal care. One such innovation that has significantly improved the analysis of fetal facial profiles is the integration of AI in 3D/4D ultrasound imaging. In conclusion, the integration of artificial intelligence in the analysis of 3D/4D ultrasound data for fetal facial profiles offers numerous benefits, including improved accuracy, consistency, and efficiency in prenatal diagnosis and care.
人工智能（AI）在医疗保健领域已经成为一种变革性的技术，在包括妇产科在内的各种医学学科中都取得了重大进展。将人工智能集成到胎儿面部轮廓的 3D/4D 超声分析中具有许多优势。通过利用机器学习和深度学习算法，AI 可以帮助准确、高效地解释复杂的 3D/4D 超声数据，使医疗保健提供者能够做出更明智的决策并提供更好的产前护理。其中一项极大地改进了胎儿面部轮廓分析的创新是将 AI 集成到 3D/4D 超声成像中。总之，人工智能在 3D/4D 超声数据胎儿面部轮廓分析中的应用具有许多优势，包括提高产前诊断和护理的准确性、一致性和效率。
