Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ultrasonography01:17

Ultrasonography

7.3K
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...
7.3K
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

375
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...
375

You might also read

Related Articles

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

Sort by
Same author

Unusual Sciatic Nerve Entrapment by the Inferior Gluteal Artery.

Diagnostics (Basel, Switzerland)·2026
Same author

Ultrasonography for Surgical Planning and Follow-Up in Neurofibromatosis Type 1.

Diagnostics (Basel, Switzerland)·2026
Same author

Ultrasound Evaluation and Treatment of Posterior Medial Antebrachial Cutaneous Nerve Injury Following Cubital Tunnel Release.

Diagnostics (Basel, Switzerland)·2026
Same author

Cadaveric analyses of injectate distribution patterns in ultrasound-guided rotator interval, dual-target, and posterior glenohumeral injections.

Insights into imaging·2026
Same author

Measuring Dynamic Tendon Torsion Using Ultrasound Speckle Tracking: Validation with Silicone Phantom and In Vivo Application on Human Tibialis Posterior Tendon.

Sensors (Basel, Switzerland)·2026
Same author

Relationship Between Weight, Muscle Mass, Cardiorespiratory Endurance, and Likelihood of Dynapenia in Older Adults.

Journal of aging research·2026

Related Experiment Video

Updated: Jan 18, 2026

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.1K

Harnessing Artificial Intelligence for Shoulder Ultrasonography: A Narrative Review.

Wei-Ting Wu1,2, Yi-Chung Shu3, Che-Yu Lin3

  • 1Department of Physical Medicine and Rehabilitation and Community and Geriatric, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.

Journal of Imaging Informatics in Medicine
|September 12, 2025
PubMed
Summary

Artificial intelligence (AI) enhances shoulder ultrasound by automating pathology detection and improving diagnostic accuracy for conditions like rotator cuff tears. Further research is needed for real-time clinical integration and validation.

Keywords:
Deep learningMachine learningNeural networksRotator cuffUltrasound

More Related Videos

A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

24.6K
Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.6K

Related Experiment Videos

Last Updated: Jan 18, 2026

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.1K
A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

24.6K
Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.6K

Area of Science:

  • Musculoskeletal imaging
  • Artificial intelligence in medicine
  • Diagnostic ultrasound

Background:

  • Shoulder pain is a prevalent musculoskeletal issue necessitating precise imaging for diagnosis.
  • Ultrasound is a preferred modality for shoulder assessment due to its accessibility and soft tissue visualization capabilities.
  • Operator dependency and interpretation variability in ultrasound present diagnostic challenges.

Purpose of the Study:

  • To review the integration and impact of artificial intelligence (AI) in shoulder ultrasound.
  • To explore AI's role in automated pathology detection, image segmentation, and outcome prediction for shoulder conditions.
  • To identify current challenges and future directions for AI in shoulder ultrasonography.

Main Methods:

  • Narrative review of recent advancements in AI, specifically deep learning algorithms (e.g., convolutional neural networks), applied to shoulder ultrasound.
  • Analysis of AI model performance in detecting and grading shoulder pathologies.
  • Examination of AI for anatomical delineation and prediction of treatment outcomes.

Main Results:

  • Deep learning models show high accuracy in grading bicipital peritendinous effusion and identifying rotator cuff tendon tears.
  • Machine learning techniques effectively predict the success of ultrasound-guided percutaneous irrigation for rotator cuff calcification.
  • AI-powered segmentation models have enhanced anatomical delineation in shoulder ultrasound images.

Conclusions:

  • AI demonstrates significant potential to enhance diagnostic accuracy and efficiency in shoulder ultrasound.
  • Challenges include the need for large datasets, model generalizability, and robust clinical validation.
  • Future research should focus on real-time AI applications, multimodal imaging integration, and clinician-AI collaboration.