Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

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...

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

You might also read

Related Articles

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

Sort by

Same author

Association of Timing of Psychiatry Consultation and Length of Stay and Length of Stay Index in Hospitalized Patients with Cancer: Risk-Adjusted Outcomes.

Joint Commission journal on quality and patient safety·2026

Same author

Garment-related patient-reported outcomes: a longitudinal pre-post comparison of autologous versus implant-based breast reconstruction.

European journal of oncology nursing : the official journal of European Oncology Nursing Society·2026

Same author

To the Editor: Quantum Thinking in Medical Education-A Perspective Enriched by Jayant Narlikar's <i>The Adventure</i>.

Journal of graduate medical education·2026

Same author

Exploring the enigmatic link between occlusion and temporomandibular disorders: Best evidence consensus.

National journal of maxillofacial surgery·2026

Same author

A Cross-Sectional Survey to Assess the Need for Introduction of Early Clinical Exposure in Pre-Clinical Complete Denture Prosthodontics.

Frontiers in dentistry·2026

Same author

A New Drug for Resistant Hypertension: Aprocitentan.

Current hypertension reviews·2026

Search research articles

Related Experiment Video

Updated: Jan 10, 2026

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Artificial intelligence in simulation-based training for Health Professions Education: Navigating the rabbit hole.

Rakhi Negi¹, Deepti Chopra², Komal Maheshwari³

¹Professor & Commanding Officer, Military Hospital Bhuj, Kutch, Gujarat, India.

Medical Journal, Armed Forces India

|November 21, 2025

Summary

Artificial intelligence (AI) enhances simulation-based training (SBT) in healthcare education by improving scenarios and feedback. Challenges like AI bias and cost exist, but collaboration drives AI integration forward.

Keywords:

Artificial intelligence Deep learning Health professions education Machine learning Simulation-based training

More Related Videos

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

Published on: August 17, 2022

Related Experiment Videos

Last Updated: Jan 10, 2026

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

Published on: August 17, 2022

Area of Science:

Medical Education Technology
Artificial Intelligence in Healthcare
Simulation-Based Training (SBT)

Background:

Simulation-based training (SBT) has evolved from low-fidelity to high-fidelity methods.
Integration of artificial intelligence (AI) presents new opportunities for advancing SBT.

Purpose of the Study:

To review the role of AI in augmenting and transforming simulation-based training.
To identify challenges and barriers to AI implementation in SBT.
To provide an overview of the future integration of AI in SBT.

Main Methods:

Literature review on the application of AI in simulation-based training.
Analysis of AI's impact on scenario design, realism, feedback, and engagement.
Identification of challenges including AI bias, cost, and ethical considerations.

Main Results:

AI successfully enhances simulation efficacy through improved scenario design, realism, and feedback.
AI applications in SBT platforms have demonstrated increased training effectiveness.
Identified challenges include algorithmic bias, 'black box' errors, cost, and ethical concerns.

Conclusions:

AI offers significant potential to transform and improve simulation-based training in health professions.
Addressing challenges related to bias, cost, and ethics is crucial for successful AI integration.
Collaborative efforts among stakeholders are accelerating AI adoption in SBT.