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

Pathophysiology of Vomiting01:22

Pathophysiology of Vomiting

270
Vomiting is a complex physiological response to expel harmful or irritating substances from the body. It's a defensive mechanism triggered by stimuli like poisons, microbial toxins, cytotoxic drugs, and mechanical abdominal distension. The process is centrally coordinated by the vomiting (or emetic) center located in the medulla of the brainstem. This area, rich in muscarinic M1, histamine H1, neurokinin 1 (NK1), and serotonin 5-HT3 receptors, coordinates the act of vomiting through...
270
Chemotherapy-Induced Nausea and Vomiting: 5-HT3 Receptor Antagonists01:27

Chemotherapy-Induced Nausea and Vomiting: 5-HT3 Receptor Antagonists

170
5-HT3 receptor antagonists, such as dolasetron, granisetron (Kytril), ondansetron (Zofran), and palonosetron (Axoli), are crucial in managing chemotherapy-induced nausea and vomiting (CINV) and postoperative nausea. These drugs selectively block 5-HT3 receptors in the visceral vagal and spinal afferent nerves, chemoreceptor trigger zone, and the vomiting center. They have a rapid onset of action and can be given as a single dose before chemotherapy. Ondansetron and granisetron, in particular,...
170
Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists01:28

Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists

145
Neurokinin 1 (NK1) receptors are distributed across the GI tract, vagal afferents, and key CNS regions including the central vomiting center and chemoreceptor trigger zone (CTZ) Chemotherapy agents stimulate enterochromaffin cells in the gastrointestinal (GI) tract to release large amounts of substance P (SP). SP is a neuropeptide released by specific sensory nerves in response to many different stressors, including those in the GI mucosa affected by chemotherapy.  SP binds and activates...
145

You might also read

Related Articles

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

Sort by
Same author

Pre-transition nutrition dose and mortality using a CRP-Free operational metabolic transition framework: A MIMIC-IV transportability analysis.

Clinical nutrition ESPEN·2026
Same author

Noradrenaline-trajectory phenotypes in septic shock: derivation and external validation in two independent cohorts.

Intensive care medicine experimental·2026
Same author

Comparing manual vs. automated machine learning and deep learning models for predicting one-year mortality in elderly hip fracture patients.

Frontiers in medicine·2026
Same author

Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection Using Survey Data and Predictive Models.

Medical sciences (Basel, Switzerland)·2026
Same author

Moving from table to graph in physics-informed spatio-temporal symbolic regression.

Scientific reports·2026
Same author

PDE and agent based simulation approaches to Ischemic Dermal Wound Closure.

PloS one·2026
Same journal

Bilevel positive airway pressure reduces anaesthesiologist workload and turnover time in electroconvulsive therapy: a randomized controlled trial.

BMC anesthesiology·2026
Same journal

Pulse pressure versus continuous flow monitoring for fluid responsiveness prediction during passive leg raising: a prospective diagnostic accuracy study.

BMC anesthesiology·2026
Same journal

Age-related differences in the performance of the self-pressurising air-Q intubating laryngeal airway: a prospective comparative study.

BMC anesthesiology·2026
Same journal

Awareness and preparedness for local anesthetic systemic toxicity among surgical clinicians: a multi-center cross-sectional survey study.

BMC anesthesiology·2026
Same journal

Reliability of end-tidal carbon dioxide as a surrogate for arterial carbon dioxide assessment in infants undergoing thoracoscopic surgery with one-lung ventilation.

BMC anesthesiology·2026
Same journal

Perioperative anesthesia management for a child with congenital adrenal cortical hyperplasia undergoing thoracoscopic repair of atrial septal defect: a case report and literature review.

BMC anesthesiology·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

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

Predicting postoperative nausea and vomiting using machine learning: a model development and validation study.

Maxim Glebov1, Teddy Lazebnik2,3, Maksim Katsin4

  • 1Department of Anesthesiology, Sheba Medical Center, Derech Sheba 2, Ramat Gan, 52621, Israel. hlebau@gmail.com.

BMC Anesthesiology
|March 21, 2025
PubMed
Summary
This summary is machine-generated.

Machine learning models significantly improve prediction of postoperative nausea and vomiting (PONV). These advanced tools offer better patient care and outcomes compared to traditional methods.

Keywords:
Clinical machine learningPersonalised medicinePostoperative nausea and vomiting prediction

More Related Videos

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jun 20, 2026

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

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Area of Science:

  • Anesthesiology and Perioperative Medicine
  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Postoperative nausea and vomiting (PONV) is a common complication after general anesthesia, causing patient distress.
  • Existing PONV prediction scores lack satisfactory accuracy.
  • There is a need for improved prognostic models for early and delayed PONV.

Purpose of the Study:

  • To develop and validate machine learning-based prognostic models for predicting early and delayed PONV.
  • To achieve higher predictive performance than current clinical scores.
  • To enhance personalized patient care and outcomes in the postoperative period.

Main Methods:

  • Retrospective analysis of 35,003 adult patients undergoing surgery under general anesthesia.
  • Development of an ensemble machine learning model using k-fold cross-validation.
  • Data splitting into training and testing sets, preserving sociodemographic features.

Main Results:

  • Early PONV occurred in 3.82% and delayed PONV in 18.80% of patients.
  • The proposed models achieved 83.6% accuracy for early PONV and 74.8% for delayed PONV.
  • Performance surpassed the Koivuranta score by 13.0% (early) and 10.4% (delayed), validated by feature importance analysis.

Conclusions:

  • Machine learning models provide superior prediction of PONV.
  • These models facilitate personalized postoperative care strategies.
  • Improved PONV prediction leads to better patient outcomes and satisfaction.