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

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

193
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
193
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

260
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
260

You might also read

Related Articles

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

Sort by
Same author

Bridging Parallel Disciplines: An Integrated Workshop for Clinical and Imaging Informatics Training.

Journal of imaging informatics in medicine·2026
Same author

Evaluation of Large Language Models for Structured Data Extraction From Interstitial Lung Disease Clinical Notes: Comparative Study.

Journal of medical Internet research·2026
Same author

Considerations for Pre-deployment Planning in Point-of-Care Ultrasound Program Implementation: A HIMSS-SIIM Enterprise Imaging Community Whitepaper in Collaboration with AIUM.

Journal of imaging informatics in medicine·2026
Same author

Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology.

Radiology. Artificial intelligence·2026
Same author

Acquisition time/dose reduction in pediatric PET imaging using patch-based deep learning.

EJNMMI physics·2026
Same author

Bridging Industry and Academia: Proceedings from the 2025 Academy Roundtable on AI Implementation in Medical Imaging.

Radiology. Artificial intelligence·2026
Same journal

Erratum for: Prediction of Lobar Emphysema Progression with a CT-Based Foundational Model.

Radiology·2026
Same journal

Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort.

Radiology·2026
Same journal

Erratum for: Blue Rubber Bleb Nevus Syndrome.

Radiology·2026
Same journal

Redefining the Clinical Role of MRI in Endometrial Cancer Staging.

Radiology·2026
Same journal

To Ablate or Not to Ablate: The Colorectal Liver Metastasis Question.

Radiology·2026
Same journal

The Limits of Radiologic Categorization in Pulmonary Nonsolid Nodules.

Radiology·2026
See all related articles

Related Experiment Video

Updated: Oct 18, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.1K

Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective

David K Eng1, Nishith B Khandwala1, Jin Long1

  • 1From the Department of Computer Science, Stanford University, 300 N Pasteur Dr, Stanford, CA 94305 (D.K.E., N.B.K.); Departments of Pediatrics (J.L.) and Radiology (D.B.L., J.M.S., C.P.L., M.P.L., S.S.H.), Stanford University School of Medicine, Stanford, Calif; Department of Radiology, New York University School of Medicine, New York, NY (N.R.F., S.V.L., N.A.S., M.E.B.); Department of Radiology, Emory School of Medicine and Children's Healthcare of Atlanta, Atlanta, Ga (S.S.M.); Department of Radiology, MedStar Health and Georgetown University School of Medicine, Washington, DC (R.W.F., A.R.Z.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (S.E.S., A.J.T., C.G.A.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (M.L.F., S.L.K., R.D.); Department of Radiology, Harvard Medical School and Boston Children's Hospital, Boston, Mass (K.E., S.P.P.); Department of Radiology, Yale School of Medicine, New Haven, Conn (B.J.D., C.T.S.); and Department of Radiology, Kansas University School of Medicine, Kansas City, Kan (B.M.E.).

Radiology
|September 28, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) algorithms improved skeletal age assessment accuracy and reduced interpretation times for radiologists in clinical practice. This AI diagnostic aid demonstrated better accuracy and efficiency compared to traditional methods.

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.0K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.8K

Related Experiment Videos

Last Updated: Oct 18, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.0K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.8K

Failed At:

2026-06-19T13:39:10.744260+00:00