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

Artificial Intelligence-Based System for Detecting Attention Levels in Students06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

5.3K
This paper proposes an artificial intelligence-based system to automatically detect whether students are paying attention to the class or are distracted. This system is designed to help teachers maintain students' attention, optimize their lessons, and dynamically introduce modifications in order for them to be more...
5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

2.7K
The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry...
2.7K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System05:33

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

811
Integrated image management, artificial intelligence (AI), and reporting systems have revolutionized diagnostic pathology practice. In this paper, we introduce FlexLIS, a state-of-the-art system that enables AI to assist pathologists in performing histopathology image assessments and generating diagnostic reports.
811
Artificial Intelligence Approaches to Assessing Primary Cilia08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

4.1K
The use of artificial intelligence (Ai) to analyze images is emerging as a powerful, less biased, and rapid approach compared with commonly used methods. Here we trained Ai to recognize a cellular organelle, primary cilia, and analyze properties such as length and staining intensity in a rigorous and reproducible manner.
4.1K
Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

1.4K
A process of registering cone-beam computed tomography scans and digital dental images has been presented using artificial intelligence (AI) -assisted identification of landmarks and merging. A comparison with surface-based registration shows that AI-based digitization and integration are reliable and...
1.4K
Medicated Thread Moxibustion Therapy of Zhuang Medicine and its Application in a Rat Model of Cold-Congealing Syndrome of Primary Dysmenorrhea04:35

Medicated Thread Moxibustion Therapy of Zhuang Medicine and its Application in a Rat Model of Cold-Congealing Syndrome of Primary Dysmenorrhea

1.4K
This article demonstrates the standardized operation process of Zhuang medicine line moxibustion in experimental animals. To achieve repeatability and accuracy of Zhuang medicine line moxibustion, we developed a simulator to maintain strength, heat, and frequency. We constructed a dysmenorrhea model for experimental verification in rats with cold coagulation...
1.4K

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

Challenges in AI Based Tumor Board Case Summarization and Recommendations.

Research square·2026
Same author

Recent Advances in Automated Mitosis Detection in Digital Pathology: A PRISMA-Guided Systematic Review with Evaluation-Regime Stratification (2018-2025).

Biomedicines·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

Early timepoint <sup>99m</sup>Tc-DPD whole body scintigraphy and quantitative SPECT/CT imaging for diagnosis of cardiac ATTR amyloidosis.

EJNMMI research·2026
Same author

Radiation dose has no significant impact on CT-based bone mineral density measurements in a large-animal model.

Scientific reports·2026
Same journal

Overall Survival with [<sup>177</sup>Lu]Lu-PSMA-617 Versus [<sup>177</sup>Lu]Lu-PSMA I&T: A Propensity Score-Matched Real-World Analysis.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same journal

Toward a Biopsy-Free Diagnosis of Prostate Cancer: Potential of Combined <sup>18</sup>F-Flotufolastat PSMA PET and mpMRI.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same journal

PSMA PET/CT-Targeted Biopsy in Men with Negative or Equivocal Multiparametric MRI and Exploratory Dynamic Total-Body PET: The FUPERMAN Study.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same journal

Erratum.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same journal

Live from 2026 SNMMI Annual Meeting in Los Angeles!

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same journal

CAR T-Cell Therapy for Cancer: Updates and Challenges for Response Assessment.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Artificial Intelligence in Nuclear Medicine.

Felix Nensa1, Aydin Demircioglu2, Christoph Rischpler3

  • 1Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; and felix.nensa@uk-essen.de.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|September 5, 2019
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) in healthcare is often misunderstood. This review clarifies AI's fundamentals, applications in medical imaging, and its potential impact on nuclear medicine professionals.

Keywords:
artificial intelligencedeep learningmachine learningmedical imagingnuclear medicine

More Related Videos

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

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

811

Related Experiment Videos

Last Updated: Jan 20, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

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

811

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Nuclear Medicine

Background:

  • Artificial intelligence (AI) is gaining media attention but remains a "black box" for many healthcare professionals.
  • This leads to both exaggerated expectations and unfounded fears regarding AI's capabilities.
  • A clear understanding of AI's technical fundamentals and applications is crucial.

Purpose of the Study:

  • To provide a conceptual classification and technical summary of AI.
  • To discuss AI applications within a typical medical imaging workflow.
  • To address the limitations and future impact of AI on nuclear medicine.

Main Methods:

  • Conceptual classification of AI.
  • Summary of AI technical fundamentals.
  • Discussion of AI applications in medical imaging (planning, scanning, interpretation, reporting).

Main Results:

  • AI applications can be categorized within the medical imaging workflow.
  • Current AI techniques face limitations like interpretability issues and data requirements.
  • AI presents both challenges and opportunities for the nuclear medicine profession.

Conclusions:

  • Demystifying AI is essential for healthcare professionals.
  • Understanding AI's capabilities and limitations is key to its effective integration.
  • AI holds significant potential to transform nuclear medicine practices.