ArticleScientific reports2021
Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- A visually grounded language model for fetal ultrasound understanding.Nature biomedical engineering · 2026Article
- Uncovering ethical biases in publicly available fetal ultrasound datasets.NPJ digital medicine · 2025Article
- Zoom Pattern Signatures for Fetal Ultrasound Structures.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Audio-visual modelling in a clinical setting.Scientific reports · 2024Article
- The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review.IEEE journal of biomedical and health informatics · 2024Review
- Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning.Medical image analysis · 2023Article
- Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology.Journal of clinical medicine · 2023Review
- Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data.Proceedings of machine learning research · 2023Article
- Applications of artificial intelligence in obstetrics.Ultrasonography (Seoul, Korea) · 2023Article
- Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep-learning-based analysis.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2022Article
- Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound.Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision · 2022Article
- Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022Article
- Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022Article
- Task model-specific operator skill assessment in routine fetal ultrasound scanning.International journal of computer assisted radiology and surgery · 2022Article
- Weakly Supervised Captioning of Ultrasound Images.Medical image understanding and analysis : 26th annual conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, proceedings. Medical Image Understanding and Analysis (Conference) (26th : 2022 : Cambridge, England) · 2022Article
- Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans.Proceedings. Eye Tracking Research & Applications Symposium · 2022Article
- Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves.Proceedings. Eye Tracking Research & Applications Symposium · 2022Article
- End-to-end First Trimester Fetal Ultrasound Video Automated CRL and NT Segmentation.Proceedings. IEEE International Symposium on Biomedical Imaging · 2022Article
- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound.Simplifying medical ultrasound : second international workshop, ASMUS 2021 : held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings. ASMUS (Workshop) (2nd : 2021 : Online) · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Ultrasound is the primary modality for obstetric imaging and is highly sonographer dependent. Long training period, insufficient recruitment and poor retention of sonographers are among the global challenges in the expansion of ultrasound use. For the past several decades, technical advancements in clinical obstetric ultrasound scanning have largely concerned improving image quality and processing speed. By contrast, sonographers have been acquiring ultrasound images in a similar fashion for several decades. The PULSE (Perception Ultrasound by Learning Sonographer Experience) project is an interdisciplinary multi-modal imaging study aiming to offer clinical sonography insights and transform the process of obstetric ultrasound acquisition and image analysis by applying deep learning to large-scale multi-modal clinical data. A key novelty of the study is that we record full-length ultrasound video with concurrent tracking of the sonographer's eyes, voice and the transducer while performing routine obstetric scans on pregnant women. We provide a detailed description of the novel acquisition system and illustrate how our data can be used to describe clinical ultrasound. Being able to measure different sonographer actions or model tasks will lead to a better understanding of several topics including how to effectively train new sonographers, monitor the learning progress, and enhance the scanning workflow of experts.
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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.