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 Experiment Video

Updated: Jun 23, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

A machine learning-based scalable approach for real-time surgery simulation.

Dhanannjay Deo1, Suvranu De

  • 1Rensselaer Polytechnic Institute, Troy, NY, USA.

Studies in Health Technology and Informatics
|April 21, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Integrating virtual reality and large language models for team-based non-technical skills training and evaluation in the operating room.

npj digital surgery·2026
Same author

Analysis and objective assessment of transoral robotic surgery.

International journal of computer assisted radiology and surgery·2026
Same author

Real-Time Haptic-Based Soft Body Suturing in Virtual Open Surgery Simulations.

Computers & graphics·2025
Same author

The virtual colorectal surgical trainer-ileal pouch-anal anastomosis simulator shows evidence of validity.

Surgical endoscopy·2025
Same author

Palpation Characteristics of an Instrumented Virtual Cricothyroidotomy Simulator.

IEEE transactions on human-machine systems·2025
Same author

An Ensemble Approach to Emergency Medicine Skill Assessment.

Military medicine·2025
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

This study introduces a new method for real-time surgical simulation using neural networks trained on physics-based data. This approach achieves high computational efficiency for both linear and nonlinear tissue simulations.

Area of Science:

  • Computational science
  • Biomedical engineering
  • Artificial intelligence

Background:

  • Real-time surgical simulation requires efficient computational methods.
  • Simulating complex tissue responses, both linear and nonlinear, presents significant computational challenges.

Purpose of the Study:

  • To present a novel approach for real-time surgical simulation.
  • To achieve high computational efficiency for linear and nonlinear tissue response simulations.
  • To enable scalable and controllable simulation quality.

Main Methods:

  • Physics-based computations using finite elements for offline database generation.
  • Training neural networks on the generated database for real-time computations.
  • Leveraging soft computation methods for speed and scalability.

Related Experiment Videos

Last Updated: Jun 23, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Main Results:

  • Massive computational efficiency achieved for real-time simulations.
  • Linear and nonlinear tissue simulations performed with similar operational complexity.
  • Simulation quality demonstrated to be controllable by scaling neural network size.

Conclusions:

  • The proposed method offers a unique platform for real-time interactive surgical simulations.
  • It effectively combines the speed and scalability of soft computation with accurate physics-based modeling.
  • This approach significantly advances the feasibility of complex tissue simulations in surgical training.