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

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.9K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.9K
Reason and Intuition01:37

Reason and Intuition

7.3K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.3K
Decision Making01:20

Decision Making

562
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
562
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.6K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.2K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.2K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.0K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.0K

You might also read

Related Articles

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

Sort by
Same author

WE-UNet: A Wavelet-enhanced U-Net framework for radiation dose reduction in chest radiography.

Journal of applied clinical medical physics·2026
Same author

A generalizable deep learning system for cardiac MRI.

Nature biomedical engineering·2026
Same author

Advanced Prompting Techniques Informed by Clinical Expertise Improve the Accuracy of LLM Data Extraction but Increase Non-Determinism.

Journal of imaging informatics in medicine·2026
Same author

Opportunistic Imaging: 2026 Status Update and Future Outlook.

AJR. American journal of roentgenology·2026
Same author

A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Radiology. Artificial intelligence·2026
Same journal

ACR Appropriateness Criteria® Myelopathy: 2026 Update.

Journal of the American College of Radiology : JACR·2026
Same journal

ACR Appropriateness Criteria® Chronic Knee Pain: Update 2026.

Journal of the American College of Radiology : JACR·2026
Same journal

Reply.

Journal of the American College of Radiology : JACR·2026
Same journal

Radiation Sensibilities: The American College of Radiology Dose Index Registry Empowers Stakeholders in Radiation Dose Optimization.

Journal of the American College of Radiology : JACR·2026
Same journal

Supply Chain Vulnerabilities in Breast Imaging: Site- and Network-Level Strategies for a Concentrated Consumable Market.

Journal of the American College of Radiology : JACR·2026
Same journal

Prostate MRI Practices and PI-RADS Use in China's Mainland: A Nationwide Assessment and Opportunities for Standardization.

Journal of the American College of Radiology : JACR·2026
See all related articles

Related Experiment Video

Updated: Dec 6, 2025

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

356

Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions.

Ross W Filice1, John Mongan2, Marc D Kohli3

  • 1Chief of Imaging Informatics, MedStar Georgetown University Hospital, Washington, DC.

Journal of the American College of Radiology : JACR
|October 9, 2020
PubMed
Summary
This summary is machine-generated.

Radiologists considering artificial intelligence (AI) investments should evaluate performance, infrastructure, and financial implications. Careful planning ensures successful AI integration to enhance patient care and avoid potential disparities.

Keywords:
Artificial intelligencehealth care disparitiesinfrastructuremachine learningpurchasingquality and safety

More Related Videos

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.7K
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

612

Related Experiment Videos

Last Updated: Dec 6, 2025

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

356
Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.7K
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

612

Area of Science:

  • Medical Imaging
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Radiologists are increasingly exploring artificial intelligence (AI) to enhance patient care quality.
  • The adoption of AI in radiology necessitates careful consideration of various implementation factors.

Purpose of the Study:

  • To outline key considerations for radiologists when purchasing and implementing artificial intelligence (AI) solutions.
  • To guide practices through the process of evaluating AI performance, infrastructure, and financial aspects.

Main Methods:

  • Review of AI purchasing and implementation considerations for radiology practices.
  • Discussion of performance evaluation strategies, including independent verification versus vendor data.
  • Analysis of infrastructure requirements, financial implications, and quality/safety concerns specific to AI.

Main Results:

  • Successful AI implementation requires evaluating performance, defining result recipients and presentation, and assessing efficiency impacts.
  • Infrastructure choices (best-of-breed vs. platform) and specialized hardware (e.g., GPUs) are critical.
  • Financial considerations include revenue generation potential and the risk of AI exacerbating healthcare disparities.

Conclusions:

  • Radiologists must conduct thorough due diligence when investing in AI, covering technical, operational, and ethical dimensions.
  • Strategic planning is essential to maximize AI benefits in radiology while mitigating risks and ensuring equitable patient care.