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

Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

154
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...
154

You might also read

Related Articles

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

Sort by
Same author

Breath ammonia test for chronic kidney disease screening: impact of fasting on diagnostic accuracy.

Clinical kidney journal·2026
Same author

Perceived Work Stressors and Job Performance of Employees in Long-Term Care Settings Within the Context of Self-Supporting Care: The Moderating Effect of Perceived Care Recipients Empowerment.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2026
Same author

Efficacy, safety, and immunogenicity of UB-851 versus Eprex® in patients with renal anemia receiving hemodialysis: A randomized, double-masked, phase III trial: Erratum.

Journal of the Chinese Medical Association : JCMA·2026
Same author

Reply to correspondence: Sodium-Glucose Cotransporter-2 Inhibitors and Liver Outcomes in Metabolic Dysfunction-associated Steatotic Liver Disease.

Clinical and molecular hepatology·2026
Same author

Challenges and Innovations in MASLD and T2DM: Strengthening Personalized Medicine with SGLT2 Inhibitors.

Clinical and molecular hepatology·2026
Same author

Efficacy, safety, and immunogenicity of UB-851 versus ® in patients with renal anemia receiving hemodialysis: A randomized, double-masked, phase III trial.

Journal of the Chinese Medical Association : JCMA·2025

Related Experiment Video

Updated: Jul 21, 2025

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.2K

An artificial intelligence algorithm for analyzing globus pallidus necrosis after carbon monoxide intoxication.

Ming-Jen Chan1,2,3,4, Ching-Chih Hu3,5, Wen-Hung Huang1,2,3

  • 1Kidney Research Center, Department of Nephrology, Linkou Chang Gung Memorial Hospital, Tao-Yuan, Taiwan.

Human & Experimental Toxicology
|July 26, 2023
PubMed
Summary

An artificial intelligence model can predict globus pallidus necrosis (GPN) in carbon monoxide (CO) poisoning patients using clinical data. This AI tool offers fair predictive ability, aiding in early diagnosis of neurological damage.

Keywords:
Artificial intelligencecarbon monoxideglobus pallidus necrosisrandom forest classifier

More Related Videos

MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges
09:33

MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges

Published on: December 17, 2014

14.1K
Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG
10:31

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Published on: December 28, 2014

14.0K

Related Experiment Videos

Last Updated: Jul 21, 2025

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.2K
MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges
09:33

MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges

Published on: December 17, 2014

14.1K
Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG
10:31

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Published on: December 28, 2014

14.0K

Area of Science:

  • Neurology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Globus pallidus necrosis (GPN) is a characteristic neurological finding in carbon monoxide (CO) poisoning.
  • Current guidelines do not recommend routine screening, potentially leading to missed GPN diagnoses.

Purpose of the Study:

  • To develop and evaluate an artificial intelligence (AI) algorithm for predicting GPN in CO-intoxicated patients.
  • To identify key clinical and laboratory parameters predictive of GPN.

Main Methods:

  • A retrospective cohort of 261 CO-intoxicated patients with neurological images (2000-2019) was analyzed.
  • 41 clinical and laboratory parameters were collected for AI model development.
  • A Random Forest Classifier (RFC) model was developed and validated using fivefold cross-validation.

Main Results:

  • The RFC-based AI model achieved an accuracy of 79.2%, sensitivity of 77.7%, precision of 81.9%, and F1 score of 73.2%.
  • Key predictors included platelet count, carboxyhemoglobin levels, Glasgow Coma Scale, creatinine, and hemoglobin.
  • The area under the ROC curve was approximately 0.64.

Conclusions:

  • This study presents the first RFC-based AI algorithm for predicting GPN in CO intoxication.
  • The algorithm demonstrates fair predictive ability, potentially improving GPN diagnosis.
  • Further research is necessary to validate these findings in larger cohorts.