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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.
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Ultrasound I: Abdominal Ultrasonography

Ultrasound I: Abdominal Ultrasonography

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Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
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Related Experiment Video

Updated: Sep 18, 2025

Point-of-Care Lung Ultrasound in Adults: Image Acquisition

Point-of-Care Lung Ultrasound in Adults: Image Acquisition

Published on: March 3, 2023

Computer-Based Competency Assessment in Point-Of-Care Ultrasound: A Systematic Review.

Lao-Tzu Allan-Blitz^1,2, Madeline Schwid³, Nicole M Duggan²

¹Division of Global Health Equity, Department of Medicine Brigham and Women's Hospital Boston Massachusetts USA.

AEM Education and Training

|June 27, 2025

Summary

This summary is machine-generated.

Computer-based methods offer objective assessment of point of care ultrasound (POCUS) competency. These approaches, including hand and eye tracking, show promise in distinguishing skill levels for POCUS proficiency.

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Area of Science:

Medical Education Technology
Ultrasound Imaging
Competency Assessment

Background:

Point of care ultrasound (POCUS) is a vital skill across medical specialties.
Significant variability exists in current POCUS competency assessment methods.
Computer-based approaches may provide more objective and reliable POCUS skill evaluation.

Purpose of the Study:

To systematically review and synthesize literature on computer-based methods for assessing POCUS competency.
To identify and evaluate the effectiveness of various computer-based POCUS assessment tools.
To summarize findings on the reliability and objectivity of these digital assessment strategies.

Main Methods:

Systematic literature search across six major online databases.
Inclusion of original peer-reviewed studies assessing computer-based POCUS metrics.
Data extraction on participant specialty, POCUS experience, modality, and assessment results.
Qualitative synthesis of findings by at least two independent reviewers.

Main Results:

Twenty-eight studies were included, analyzing computer-based metrics for knowledge, skills, and cognitive load.
Hand tracking, eye tracking, image analysis, and simulation scores were employed.
Hand tracking revealed experts had shorter probe paths and less movement.
Eye tracking indicated longer dwell times correlated with successful POCUS procedures and image interpretation accuracy.

Conclusions:

Four distinct computer-based metrics for POCUS competence assessment were identified.
Many of these metrics demonstrated consistent ability to differentiate POCUS skill levels.
Further research is necessary to standardize and validate these emerging assessment approaches.