ReviewFrontiers in medicine2021
Artificial Intelligence in Obstetric Ultrasound: An Update and Future Applications.
Review in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05790473 (Artificial Intelligence Algorithm for the Screening of Abnormal Fetal Brain Findings at First Trimester Ultrasound Scan), which is not on this map. Cited by 29 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Artificial Intelligence Algorithm for the Screening of Abnormal Fetal Brain Findings at First Trimester Ultrasound Scan
Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Interobserver and intraobserver variability of fetal and maternal Doppler measurements: systematic review and meta-analysis.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026Pooled it
- Artificial intelligence in breast ultrasound: a systematic review of research advances.Frontiers in oncology · 2025Pooled it
- Applications of artificial intelligence in early childhood health management: a systematic review from fetal to pediatric periods.Frontiers in pediatrics · 2025Pooled it
- Review
- AI-based quality control was associated with improved fetal ultrasound image quality in low-resource settings: a real-world multicenter study from West China.BMC medicine · 2026Observational
- AI in Childbirth and Emerging Alternatives to Traditional Fertility Treatments.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Automated and accurate view classification of fetal echocardiography using convolutional neural networks.Quantitative imaging in medicine and surgery · 2025Article
- Automatic Identification of Fetal Abdominal Planes from Ultrasound Images Based on Deep Learning.Journal of imaging informatics in medicine · 2025Article
- Contrast-enhanced ultrasound for fetal and placental assessment: evidence, safety, and a roadmap for clinical translation.The ultrasound journal · 2025Review
- A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries.Scientific reports · 2025Article
- Automatic Measurement of Frontomaxillary Facial Angle in Fetal Ultrasound Images Using Deep Learning.Sensors (Basel, Switzerland) · 2025Article
- Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates.International journal of general medicine · 2025Review
- Clinical audit for first-trimester ultrasound screening: a single center experience.Frontiers in medicine · 2025Article
- Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects.Frontiers in pediatrics · 2025Review
- Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.Reproductive health · 2024Article
- Current Developments from Silicon Valley - How Artificial Intelligence is Changing Gynecology and Obstetrics.Geburtshilfe und Frauenheilkunde · 2024Article
- Use of artificial intelligence in obstetric and gynaecological diagnostics: a protocol for a systematic review and meta-analysis.BMJ open · 2024Article
- Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.Australasian journal of ultrasound in medicine · 2024Article
- Artificial Intelligence in Obstetric Anomaly Scan: Heart and Brain.Life (Basel, Switzerland) · 2024Review
- A novel artificial intelligence model for fetal facial profile marker measurement during the first trimester.BMC pregnancy and childbirth · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) can support clinical decisions and provide quality assurance for images. Although ultrasonography is commonly used in the field of obstetrics and gynecology, the use of AI is still in a stage of infancy. Nevertheless, in repetitive ultrasound examinations, such as those involving automatic positioning and identification of fetal structures, prediction of gestational age (GA), and real-time image quality assurance, AI has great potential. To realize its application, it is necessary to promote interdisciplinary communication between AI developers and sonographers. In this review, we outlined the benefits of AI technology in obstetric ultrasound diagnosis by optimizing image acquisition, quantification, segmentation, and location identification, which can be helpful for obstetric ultrasound diagnosis in different periods of pregnancy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.