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Related Concept Videos

Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Ultrasonography01:17

Ultrasonography

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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...
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Ultrasound I: Abdominal Ultrasonography01:20

Ultrasound I: Abdominal Ultrasonography

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Introduction:
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.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
2.4K
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

567
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
567
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

347
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
347

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Related Experiment Video

Updated: Mar 13, 2026

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography
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Development of a Deep Learning-Based Feedback Model to Assist Medical Students Learning Renal Ultrasound Acquisition:

Andy Cheuk Nam Hwang1, Rahul Singh1, Elizabeth Ann Barrett2

  • 1Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd, Pok Fu Lam, Hong Kong, China, +852 22553307.

JMIR Medical Education
|March 11, 2026
PubMed
Summary

A deep learning model provides automated feedback for point-of-care ultrasound training, enhancing self-regulated learning and skill acquisition in medical students. This tool shows promise for improving ultrasound education.

Keywords:
automated feedback systemconvolutional neural networksdeep learningpoint-of-care ultrasoundrenal ultrasound learning

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Area of Science:

  • Medical Education Technology
  • Artificial Intelligence in Healthcare
  • Point-of-Care Ultrasound

Background:

  • Point-of-care ultrasound (POCUS) integration into medical curricula necessitates faculty expertise for effective training.
  • There is a growing need for scalable solutions to support POCUS instruction and feedback.

Purpose of the Study:

  • To develop and evaluate a deep learning-based feedback model as an adjunct tool for POCUS training.
  • To assess the impact of the AI feedback model on medical students' learning experience and skill acquisition.

Main Methods:

  • A cascaded deep learning model was trained on 2807 renal ultrasound images for automated quality assessment.
  • The model classified images into optimal, suboptimal, and incorrect categories, with suboptimal images further subcategorized.
  • Mixed methods analysis, including focus groups and questionnaires, evaluated student feedback and OSCE scores were compared pre- and post-implementation.

Main Results:

  • The deep learning model encouraged self-regulated learning, though curricular and hardware issues presented challenges.
  • Student satisfaction with the model's usability and helpfulness ranged from 32% to 76%.
  • Mean Objective Structured Clinical Examination (OSCE) scores showed a trend towards improvement post-implementation (9.73/10 vs. 9.35-9.45/10 previously).

Conclusions:

  • A deep learning-based feedback model was successfully developed and deployed for bedside ultrasound training.
  • The AI tool fostered positive learner engagement and enhanced self-regulated learning among novice medical students.
  • The innovation demonstrated potential for improving ultrasound skill acquisition in medical education.