ReviewArchives of gynecology and obstetrics2025
Innovations in ultrasound training in obstetrics.
Review in Archives of gynecology and obstetrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Evaluating the effectiveness of high-fidelity simulation-based training on clinical skill transfer in obstetric ultrasound residents: a prospective randomized controlled trial.BMC medical education · 2026Trial
- Nurses' learning curves for ultrasound assessment of gastric content: A prospective cohort study.International journal of nursing studies advances · 2026Article
- Automating Case-Based Learning in Obstetrics and Gynecology: Validation of a Locally Deployed Large Language Model.Journal of multidisciplinary healthcare · 2026Article
- The performance of sonographic antenatal birth weight assessment assisted with artificial intelligence compared to that of manual examiners at term.Archives of gynecology and obstetrics · 2025Article
- Clinical examination for identifying low-risk pregnancies suitable for expectant management beyond 40-41 gestational weeks: maternal and fetal outcomes.Archives of gynecology and obstetrics · 2025Article
- Effectiveness of Technology-Supported Ultrasound Training in Prenatal Diagnosis through an Adaptive Image Recognition Training System (AdaptUS).Geburtshilfe und Frauenheilkunde · 2025Article
- Innovations in ultrasound training in obstetrics.Archives of gynecology and obstetrics · 2025Review
- Clinically guided adaptive contrast adjustment for fetal plane classification: a modular plug-and-play solution.Frontiers in physiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUltrasound technology is critical in obstetrics, enabling detailed examination of the fetus and maternal anatomy. However, increasing complexity demands specialised training to maximise its potential. This study explores innovative approaches to ultrasound training in obstetrics, focussing on enhancing diagnostic skills and patient safety.
methodsThis review examines recent innovations in ultrasound training, including competency-based medical education (CBME), simulation technologies, technology-based resources, artificial intelligence (AI), and online-learning platforms. Traditional training methods such as theoretical learning, practical experience, and peer learning are also discussed to provide a comprehensive view of current practises.
resultsInnovations in ultrasound training include the use of high-fidelity simulators, virtual reality (VR), augmented reality (AR), and hybrid-learning platforms. Simulation technologies offer reproducibility, risk-free learning, diverse scenarios, and immediate feedback. AI and machine learning facilitate personalised-learning paths, real-time feedback, and automated-image analysis. Online-learning platforms and e-learning methods provide flexible, accessible, and cost-effective education. Gamification enhances learning motivation and engagement through educational games and virtual competitions. DISCUSSION: The integration of innovative technologies in ultrasound training significantly improves diagnostic skills, learner confidence, and patient safety. However, challenges such as high costs, the need for comprehensive instructor training, and integration into existing programs must be addressed. Standardisation and certification ensure high-quality and consistent training. Future developments in AI, VR, and 3D printing promise further advancements in ultrasound education.
conclusionInnovations in ultrasound training in obstetrics offer significant improvements in medical education and patient care. The successful implementation and continuous development of these technologies are crucial to meet the growing demands of modern obstetrics.
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What OpenQuestion holds
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.