Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ultrasound II: Endoscopic Ultrasound and FibroScan

Ultrasound II: Endoscopic Ultrasound and FibroScan

Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):

Ultrasonography

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Causes of congenital heart disease: an integrative narrative review.

Heart (British Cardiac Society)·2026

Same author

A Systematic Review of Heat Exposure on Fetal Heart Rate: More Evidence is Urgently Needed.

American journal of obstetrics & gynecology MFM·2026

Same author

Unraveling health disparities across cause-specific outcomes associated with emerging air pollutants: Evidence on black carbon and ultrafine particles in Buffalo, New York.

Environmental research·2026

Same author

Regenerative Nanoscaffolds for Chronic Tympanic Membrane Perforation: From Bench to Clinical Translation.

Tissue engineering. Part A·2026

Same author

Prevention of postpartum haemorrhage: from evidence to implementation at scale.

Lancet (London, England)·2026

Same author

Fetal monitoring for high-risk pregnancies using a wearable ultrasound patch.

Nature biotechnology·2026

Search research articles

Related Experiment Video

Updated: Dec 3, 2025

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

Published on: September 24, 2017

Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking.

Yipei Wang¹, Richard Droste¹, Jianbo Jiao¹

¹Institute of Biomedical Engineering, University of Oxford, Oxford, UK.

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

|October 26, 2020

Summary

This study introduces a deep learning model to analyze fetal ultrasound probe movements, accurately classifying operator skill levels. The framework identifies distinct motion patterns, achieving 95% accuracy in differentiating expertise during scans.

Keywords:

Fetal ultrasound Operator skill Probe motion

More Related Videos

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

Published on: August 21, 2018

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Related Experiment Videos

Last Updated: Dec 3, 2025

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

Published on: September 24, 2017

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

Published on: August 21, 2018

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Area of Science:

Medical Imaging
Artificial Intelligence
Ultrasound Technology

Background:

Operator skill significantly impacts diagnostic accuracy in fetal ultrasound.
Objective assessment of ultrasound operator skill is challenging.
Standardized methods for skill evaluation are needed.

Purpose of the Study:

To develop and validate a deep learning framework for differentiating operator skill levels in fetal ultrasound.
To model ultrasound probe motion for skill classification.
To create a skill assessment tool invariant to individual scanning styles.

Main Methods:

Acquisition of probe motion data during routine second-trimester fetal ultrasound scans.
Utilizing a novel convolutional neural network (CNN)-based deep learning framework.
Training the model on data from operators with known experience levels (newly-qualified and expert).

Main Results:

The proposed deep learning model successfully identified distinct probe motion features.
The framework achieved 95% accuracy in classifying operator skill levels.
The model demonstrated invariance to operators' personal scanning styles.

Conclusions:

Deep learning analysis of ultrasound probe motion is a viable method for objective skill assessment.
This approach can differentiate between novice and expert operators in fetal ultrasound.
The framework holds potential for improving ultrasound training and quality assurance.