Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Radiological Investigation I: X-ray and CT

Radiological Investigation I: X-ray and CT

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...

Radiological Investigation II: MRI and Ventilation Perfusion Scan

Radiological Investigation II: MRI and Ventilation Perfusion Scan

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...

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

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...

Positron Emission Tomography

Positron Emission Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

A user's guide to calculate return on investment for artificial intelligence algorithms and imaging technologies.

Abdominal radiology (New York)·2026

Same author

General Purpose Artificial Intelligence for Abdominal CT Using a 3D Vision-Language Foundation Model.

AJR. American journal of roentgenology·2026

Same author

Detecting and Mitigating Bias for Inclusive and Trustworthy Clinical Research: A Scientific Statement From the American Heart Association.

Circulation. Genomic and precision medicine·2026

Same author

The challenge of bringing advances in sacroiliac joint imaging to the clinic.

Current opinion in rheumatology·2026

Same author

Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging.

PLOS digital health·2026

Same author

The Power of Open Health Data: Impact, Representation, and Knowledge Diffusion.

medRxiv : the preprint server for health sciences·2026

Search research articles

Related Experiment Video

Updated: Sep 22, 2025

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

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

Published on: July 11, 2025

The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions.

Pedro V Staziaki¹, Paul H Yi², Matthew D Li¹

¹Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114.

Academic Radiology

|May 23, 2022

Summary

Radiology: Artificial Intelligence launched a Trainee Editorial Board (TEB) for medical trainees. The program offers formal training in medical journalism and fosters community in AI in radiology.

Keywords:

Artificial Intelligence Education, Medical Research

More Related Videos

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

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

Published on: February 23, 2024

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

Related Experiment Videos

Last Updated: Sep 22, 2025

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

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

Published on: July 11, 2025

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

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

Published on: February 23, 2024

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

Area of Science:

Medical Journalism
Artificial Intelligence in Radiology

Background:

The journal Radiology: Artificial Intelligence established a Trainee Editorial Board (TEB) in 2019.
The TEB aims to provide formal training in medical journalism for trainees in medicine and research.

Purpose of the Study:

To offer formal training in medical journalism to trainees.
To foster a community of professionals in artificial intelligence (AI) in radiology.
To advance the field of AI in radiology through improved writing, reviewing, and dissemination of research.

Main Methods:

Trainee Editorial Board members actively participate in the peer-review and publication process.
Members engage in educational webinars and create diverse content.
Web-based platforms primarily mediate communication and activities.

Main Results:

The TEB program provides opportunities for skill development in editorial processes, writing, and reviewing.
It facilitates the advancement and dissemination of AI research in radiology.
Initial experiences with the program have been documented.

Conclusions:

The Trainee Editorial Board is an effective model for training future medical journalists in AI in radiology.
The program successfully builds community and enhances the translation of AI research.
Future directions and opportunities for the TEB program are identified.