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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
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...
5.9K
Positron Emission Tomography01:29

Positron Emission Tomography

6.1K
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...
6.1K

You might also read

Related Articles

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

Sort by
Same author

AI-augmented thyroid scintigraphy for robust classification of disease.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

Cycle-dependent variation of tumor absorbed dose rates in 177Lu-DOTATATE therapies.

Biomedical physics & engineering express·2026
Same author

Beyond the tumor: Recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancer.

Biomedical physics & engineering express·2026
Same author

Kernel-based Maximum likelihood reconstruction of attenuation and activity (MLAA) in SPECT imaging for improved attenuation correction and activity quantification: Simulation, phantom and patient validation studies.

Physics in medicine and biology·2026
Same author

A clinically anchored radiomics dictionary for explainable TI-RADS-based thyroid nodule classification in ultrasound; dictionary version TU1.0.

European journal of radiology·2026
Same author

Microenvironment at a Distance: Multi-Endocrine-Organ Radiomics to Identify Systemic Signatures in PSMA-Negative Prostate Cancer.

Cancers·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: Oct 14, 2025

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

7.0K

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development.

Tyler J Bradshaw1, Ronald Boellaard2, Joyita Dutta3

  • 1Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin; tbradshaw@wisc.edu.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|November 6, 2021
PubMed
Summary
This summary is machine-generated.

This report outlines best practices for developing artificial intelligence (AI) algorithms in nuclear medicine. Following these guidelines helps users and developers avoid common pitfalls in AI development.

Keywords:
algorithmartificial intelligencebest practicescomputer/PACSresearch methodsstatistics

More Related Videos

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.5K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.6K

Related Experiment Videos

Last Updated: Oct 14, 2025

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

7.0K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.5K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.6K

Area of Science:

  • Nuclear Medicine
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Growing academic and commercial interest in AI for nuclear medicine.
  • Need for standardized best practices to mitigate AI development challenges.
  • AI Task Force of the Society of Nuclear Medicine and Molecular Imaging identified critical areas.

Purpose of the Study:

  • To provide technical best practices for AI algorithm development in nuclear medicine.
  • To guide users and developers in avoiding common pitfalls.
  • To offer specific examples within nuclear medicine applications.

Main Methods:

  • Review and synthesis of current AI development trends in nuclear medicine.
  • Formulation of general technical recommendations.
  • Elaboration of specific principles for nuclear medicine subfields.

Main Results:

  • A comprehensive set of recommendations for AI algorithm development.
  • Guidance on applying best practices to specific nuclear medicine topics.
  • Framework to ensure robust and reliable AI implementation.

Conclusions:

  • Adherence to best practices is crucial for successful AI integration in nuclear medicine.
  • Standardized development approaches will enhance AI utility and safety.
  • This report serves as a foundational guide for the nuclear medicine community.