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

356
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...
356
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

466
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...
466
Positron Emission Tomography01:29

Positron Emission Tomography

6.8K
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...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study.

Journal of medical Internet research·2026
Same author

On the utility of ChatGPT in conducting a literature review on deep learning for dopamine transporter SPECT with [¹²³I]ioflupane.

Nuklearmedizin. Nuclear medicine·2026
Same author

Disparate privacy risks from medical AI.

Nature·2026
Same author

Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicine.

Artificial intelligence in medicine·2026
Same author

Local and global patterns support medical imaging as a biomarker of ageing.

Communications medicine·2026
Same author

Contrast enhanced CT and MRI interchangeably reflect tumor characteristics in murine pancreatic cancer.

Scientific reports·2026
Same journal

Der Radiologe·2024
Same journal

Der Radiologe·2024
Same journal

Der Radiologe·2024
Same journal

Der Radiologe·2024
Same journal

Der Radiologe·2022
Same journal

Der Radiologe·2022
See all related articles

Related Experiment Video

Updated: Jan 2, 2026

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.6K

[A primer on radiomics].

Jacob M Murray1,2, Georgios Kaissis3, Rickmer Braren3

  • 1AG Computational Radiology, Department of Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.

Der Radiologe
|December 11, 2019
PubMed
Summary
This summary is machine-generated.

Radiomics, a quantitative analysis of radiological images, offers new AI-driven methods for extracting comprehensive information. This field promises to advance personalized medicine by unlocking deeper insights from medical imaging data.

Keywords:
Artificial intelligenceArtificial neural networksMachine learningPersonalized medicineRadiogenomics

More Related Videos

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

3.1K
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

7.3K

Related Experiment Videos

Last Updated: Jan 2, 2026

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.6K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

3.1K
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

7.3K

Area of Science:

  • Radiology and Medical Imaging
  • Artificial Intelligence in Medicine
  • Quantitative Imaging Analysis

Background:

  • Reproducible information extraction from radiological images is crucial in modern radiology.
  • Artificial intelligence (AI) and machine learning are revolutionizing radiological data analysis.
  • Radiomics presents novel opportunities and challenges for the future of radiology.

Purpose of the Study:

  • To introduce the field of radiomics, detailing its components and potential.
  • To explain the process of quantitative evaluation and clinical assessment of imaging markers.
  • To highlight the current limitations and future prospects of radiomics.

Main Methods:

  • A selective literature search using the PubMed search engine was conducted.
  • The study outlines the key components of a radiomics analysis.
  • Methodological innovations in AI and machine learning for radiomics are discussed.

Main Results:

  • Radiomics involves data acquisition, preprocessing, segmentation, marker computation, and model development for diagnosis and prognosis.
  • While not yet in routine clinical practice, radiomics applications are expanding.
  • The quantification of radiological data through radiomics is an ongoing development.

Conclusions:

  • Radiomics has the potential to significantly transform the discipline of radiology.
  • Extracting and interpreting all encoded information in radiological images is key to advancing personalized medicine.
  • The increasing application of radiomics signals a move towards a more personalized, future-oriented medical approach.