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

617
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...
617
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

1.5K
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
1.5K
Positron Emission Tomography01:29

Positron Emission Tomography

8.0K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
8.0K
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

834
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...
834
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.3K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
10.3K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

357
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,...
357

You might also read

Related Articles

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

Sort by
Same author

Context-Aware Multilevel Classification of Semantic Relations in Drug-Adverse Drug Reaction (ADR) Networks-Predicting Drug-Induced Liver Injury (DILI) as a Case Study.

Chemical research in toxicology·2026
Same author

Major ECG abnormalities and risk of incident cardiovascular disease in people with HIV compared to people without HIV.

AIDS (London, England)·2026
Same author

Sex differences in inappropriate imaging requests: insights from the Medical Imaging Decision And Support (MIDAS) study.

European radiology·2025
Same author

MfMRI assessment of muscle activation by swallowing exercises in laryngectomized individuals: investigating conventional and resistance-based exercises using the swallow exercise aid (SEA).

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2025
Same author

Surgeon's perceptions on 3D visualization methods in parotid gland tumor surgery.

Frontiers in oncology·2025
Same author

Aioli: Standardising Drugs in the FDA Adverse Event Reporting System (FAERS) to RxNorm and Anatomical Therapeutic Chemical (ATC) Codes.

Pharmacoepidemiology and drug safety·2025

Related Experiment Video

Updated: Mar 22, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.2K

Natural Language Processing in Radiology: A Systematic Review.

Ewoud Pons1, Loes M M Braun1, M G Myriam Hunink1

  • 1From the Departments of Radiology (E.P., L.M.M.B., M.G.M.H.) and Medical Informatics (J.A.K.), Erasmus Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands.

Radiology
|April 19, 2016
PubMed
Summary

Natural language processing (NLP) can automatically extract valuable structured data from free-text radiology reports. This review explores NLP applications, methods, and performance in radiology, highlighting its potential for clinical care and research.

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K

Related Experiment Videos

Last Updated: Mar 22, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.2K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K

Area of Science:

  • Medical Informatics
  • Computational Linguistics
  • Radiology

Background:

  • Electronic health records contain vast amounts of unstructured text data from radiological reports.
  • Extracting structured information from this free text is crucial for clinical care improvement and research.
  • Natural language processing (NLP) offers automated methods for converting clinical narrative into structured data.

Purpose of the Study:

  • To review the application of NLP techniques in radiology.
  • To examine the various purposes, methodologies, and performance of NLP in extracting information from radiological reports.
  • To identify limitations and future challenges for advancing NLP in radiology.

Main Methods:

  • Systematic literature search identifying 67 relevant publications.
  • Analysis of studies based on extracted information (tasks), NLP methodology, tools, application purpose, and performance.
  • Review of limitations, future challenges, and requirements for NLP in radiology.

Main Results:

  • NLP techniques enable automatic identification and extraction of information from radiology reports.
  • Numerous NLP methods support practical applications in radiology, aiding data structuring.
  • The review details specific NLP tasks, tools, and their reported performance.

Conclusions:

  • NLP is a valuable tool for unlocking the potential of unstructured radiological data.
  • Automated information extraction via NLP can significantly benefit clinical care and research.
  • Further advancements in NLP are needed to address limitations and meet future challenges in radiology.