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

6.1K
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...
6.1K
General Anesthesia: Overview01:24

General Anesthesia: Overview

583
Anesthesia is a medical procedure that uses drugs for CNS suppression to enable painless surgeries and procedures. The selection of anesthetics is influenced by their pharmacokinetic properties, side effects, and patient characteristics. Various types of anesthesia include general, local, regional, spinal, and inhalational.
General anesthesia induces unconsciousness in the whole body, while the others target specific areas or sensations. It is administered to minimize adverse effects, maintain...
583

You might also read

Related Articles

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

Sort by
Same author

Diagnostic accuracy of presepsin for sepsis in adult patients according to the criteria of sepsis-3: systematic review and meta-analysis.

BMC anesthesiology·2026
Same author

Artificial Intelligence in Predicting Mortality Risk for Critically Ill Children in Pediatric Intensive Care Units: A Systematic Review.

Health science reports·2026
Same author

Anesthesia Services Can be Provided via Telemedicine: An Assessment of the Readiness.

Journal of biomedical physics & engineering·2026
Same author

Peripheral Neuropathy: A Phenotype-Driven Review for Diagnosis and Management.

Revista de neurologia·2026
Same author

Effects of Preanhepatic Glucose-Insulin Infusion on Metabolic and Hemodynamic Outcomes in Liver Transplantation: A Randomized Clinical Trial : Preanhepatic Glucose-Insulin Infusion and Liver Transplantation.

Galen medical journal·2026
Same author

Comparison of the Effects of Sevoflurane and Isoflurane During Liver Transplant Surgery on the Short-Term Cardiac, Hepatic, and Renal Outcome: A Randomized Clinical Trial.

Iranian journal of pharmaceutical research : IJPR·2026
Same journal

Outpatient Anesthesia in 2026: Scaling Care, Advancing Safety, Shaping the Future.

Anesthesiology clinics·2026
Same journal

Ambulatory Anesthesia: How Far Can We Go?

Anesthesiology clinics·2026
Same journal

Perioperative Management of Patients on Medication for Opioid Use Disorder Undergoing Ambulatory Surgery: Clinical Considerations for Anesthesiologists.

Anesthesiology clinics·2026
Same journal

Applying the 2024 American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines for Cardiac Evaluation and Managment of Patients Having Noncardiac Surgeries in an Ambulatory Setting.

Anesthesiology clinics·2026
Same journal

Comprehensive Review of Office-Based Anesthesia Safety 2026 for the Next Generation.

Anesthesiology clinics·2026
Same journal

A Contemporary Review on Health Care Disparities in Pediatric Ambulatory Anesthesia.

Anesthesiology clinics·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.4K

Artificial Intelligence-Driven Image and Data Analytics in Anesthesia.

Firoozeh Madadi1, Zeinab Kohzadi2, Shahabedin Rahmatizadeh3

  • 1Department of Anesthesiology, School of Medicine, Anesthesiology Research Center, Ayatollah Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Anesthesiology Clinics
|September 25, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances medical imaging analysis for better disease detection and personalized treatment. While AI shows promise in anesthesia and clinical practice, ethical integration and validation are crucial for adoption.

Keywords:
Artificial intelligence (AI)Clinical decision supportDeep learning (DL)Medical image analysisUltrasound-guided regional anesthesia (UGRA)

More Related Videos

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

807
Image Acquisition using Portable Sonography for Emergency Airway Management
07:31

Image Acquisition using Portable Sonography for Emergency Airway Management

Published on: September 28, 2022

3.0K

Related Experiment Videos

Last Updated: Jan 16, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.4K
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

807
Image Acquisition using Portable Sonography for Emergency Airway Management
07:31

Image Acquisition using Portable Sonography for Emergency Airway Management

Published on: September 28, 2022

3.0K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Anesthesiology

Background:

  • Artificial intelligence (AI) is revolutionizing medical image analysis.
  • Technologies like deep learning and convolutional neural networks are key drivers.
  • AI integration enhances diagnostic accuracy and efficiency.

Purpose of the Study:

  • To explore the transformative impact of AI in medical image analysis.
  • To highlight AI applications in disease detection, segmentation, and treatment personalization.
  • To examine AI's role in anesthesia, specifically point-of-care ultrasound and training.

Main Methods:

  • Review of AI technologies including deep learning, CNNs, and SVMs.
  • Analysis of AI applications in image segmentation and data integration.
  • Evaluation of AI tools in anesthesia, such as ScanNav and Accuro.

Main Results:

  • AI significantly improves accuracy, efficiency, and diagnostic precision in medical imaging.
  • AI aids in disease detection, image segmentation, and personalized treatment planning.
  • AI tools enhance point-of-care ultrasound procedures and clinician training in anesthesia.

Conclusions:

  • AI-driven systems offer potential for standardized practice and improved patient safety.
  • Ethical integration and expert clinical judgment are essential for successful AI adoption.
  • Addressing challenges like clinical validation and generalizability is critical for AI's future in medicine.