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

Computed Tomography01:10

Computed Tomography

7.9K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.9K
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

457
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...
457
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

352
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...
352
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

233
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
233
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Interstitial lung disease pattern recognition on full high resolution computed tomography volume: Development and evaluation of a decision-support tool for less-experimented radiologists.

Diagnostic and interventional imaging·2026
Same author

Decoding the Myocardium: Tracer-Aware Deep Learning for Patient-Level Classification in Stress-Rest SPECT Myocardial Perfusion Imaging.

Diagnostics (Basel, Switzerland)·2026
Same author

Metabolic determinants of cancer immunotherapy outcomes identified by plasma profiling.

Nature medicine·2026
Same author

Smoking-Related Comorbidities Detected Through Low-Dose CT Imaging Lung Cancer Screening: Current Evidence and Future Directions.

Chest·2026
Same author

Practices in reporting incidental findings in lung cancer screening by low-dose CT: a European Survey of Radiologists by SOLACE.

Insights into imaging·2026
Same author

Guidance for chest-CT in children and adults with cystic fibrosis: A European perspective (part 2: special situations/respiratory complications).

Respiratory medicine·2026
Same journal

A novel MRI-based formal head bone quality score for predicting the prognosis of the normal hip in patients with unilateral nontraumatic osteonecrosis of the femoral head.

European journal of radiology·2026
Same journal

Prediction of efficacy and prognosis of PD‑1/PD‑L1 inhibitor combination chemotherapy for gastric cancer using an AI model based on dual‑energy CT: A multicenter study.

European journal of radiology·2026
Same journal

Superb microvascular imaging for evaluating the efficacy of microwave ablation in primary Hyperparathyroidism: A prospective study.

European journal of radiology·2026
Same journal

LET "Automated iliac artery tortuosity measurement: correlation does not equal agreement".

European journal of radiology·2026
Same journal

A retrospective study of coarse calcification as an independent risk factor for poor prognosis and early metastasis in paediatric neuroblastoma.

European journal of radiology·2026
Same journal

Preoperative prediction of lymphovascular and perineural invasion in locally advanced gastric cancer via CT habitat analysis and deep learning: A dual-center study.

European journal of radiology·2026
See all related articles

Related Experiment Video

Updated: Jan 1, 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

2.0K

Artificial intelligence applications for thoracic imaging.

Guillaume Chassagnon1, Maria Vakalopoulou2, Nikos Paragios3

  • 1Radiology Department, Groupe Hospitalier Cochin Broca Hôtel-Dieu - Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France; Laboratoire Mathématiques et Informatique pour la Complexité et les Systèmes, Ecole CentraleSupelec, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France; Center for Visual Computing, Ecole CentraleSupelec, 3 Rue Joliot Curie, 91190, Gif-sur-Yvette, France.

European Journal of Radiology
|December 17, 2019
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and deep learning, particularly convolutional neural networks (CNNs), are revolutionizing medical imaging, especially in thoracic applications like lung nodule detection and cancer screening. Radiologists must understand these AI advancements for effective clinical integration.

Keywords:
Artificial intelligenceDeep learningMachine learningThoracic imaging

More Related Videos

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

714
Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.6K

Related Experiment Videos

Last Updated: Jan 1, 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

2.0K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

714
Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.6K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Radiology

Background:

  • Deep learning methods, especially convolutional neural networks (CNNs), significantly outperform traditional machine learning in medical imaging.
  • Thoracic imaging, including chest radiography and computed tomography, is a prime area for AI development due to data availability and high procedure volume.

Purpose of the Study:

  • To define key machine learning terms and concepts for radiologists.
  • To review current and future applications of AI in thoracic imaging.
  • To emphasize the importance of radiologists actively participating in AI-driven radiology.

Main Methods:

  • Review of deep learning techniques (CNNs) in medical imaging.
  • Analysis of AI applications in thoracic radiography and computed tomography.
  • Discussion of AI's role in lung nodule evaluation, disease detection, and cancer screening.

Main Results:

  • Current AI algorithms can detect up to 14 common anomalies in chest X-rays as isolated findings.
  • AI shows significant promise for large-scale lung cancer screening using chest CT scans.

Conclusions:

  • AI, powered by deep learning, is transforming thoracic imaging interpretation.
  • Radiologists need to understand AI concepts to lead its clinical implementation.
  • Prospective validation is crucial before routine clinical adoption of AI tools.