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

You might also read

Related Articles

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

Sort by

Same author

Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings.

BMC medical informatics and decision making·2026

Same author

Where the Tool Meets the Tissue ….

World neurosurgery·2026

Same author

The glymphatic system and glioblastoma.

Brain : a journal of neurology·2025

Same author

Can Microsurgery be Standardized? Quantifying Technique in Intracerebral Hemorrhage.

Neuro-Chirurgie·2025

Same author

An Internet of Things operating room platform for neurosurgery.

Journal of neurosurgery·2025

Same author

Hybrid SiO<sub>2</sub>/Si pillar-based optomechanical crystals for on-chip photonic integration.

Nanophotonics (Berlin, Germany)·2025

Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026

Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026

Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026

Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026

Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026

Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 26, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Tool-tissue force segmentation and pattern recognition for evaluating neurosurgical performance.

Amir Baghdadi¹, Sanju Lama¹, Rahul Singh¹

¹Project neuroArm, Department of Clinical Neurosciences, Hotchkiss Brain Institute University of Calgary, Calgary, AB, Canada.

Scientific Reports

|June 13, 2023

Summary

This summary is machine-generated.

Machine learning models analyze surgical tool-tissue interaction forces from sensorized forceps to objectively evaluate surgeon performance. This AI-powered system provides real-time feedback for personalized surgical skill assessment and task recognition.

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Related Experiment Videos

Last Updated: Jul 26, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Area of Science:

Neurosurgery
Artificial Intelligence
Surgical Analytics

Background:

Surgical performance evaluation traditionally relies on subjective assessments.
Objective quantification of surgical skills is crucial for personalized training and improved patient outcomes.
Artificial intelligence offers a novel approach to analyze complex surgical data.

Purpose of the Study:

To develop and implement machine learning models for analyzing surgical finesse using tool-tissue interaction force data.
To enable objective, personalized performance evaluation for surgeons through a virtual surgical assist.
To create an end-to-end platform for intraoperative surgical performance monitoring.

Main Methods:

Utilized force data from sensorized bipolar forceps (SmartForceps System) during 50 neurosurgery procedures.
Developed T-U-Net for force profile segmentation and FTFIT deep learning architectures for skill and task classification.
Collected over 161 hours of operating room data from 13 surgeons of varying experience levels.

Main Results:

Achieved high accuracy in force profile segmentation (Weighted F1-score=0.95, AUC=0.99) using T-U-Net.
Demonstrated effective surgical skill classification (Weighted F1-score=0.71, AUC=0.81) and task recognition (Weighted F1-score=0.82, AUC=0.89).
Developed a cloud-based module providing a dashboard with performance metrics compared to expert levels.

Conclusions:

A novel machine learning module enables real-time, data-driven surgical performance monitoring and evaluation.
The AI platform facilitates personalized feedback and learning for surgeons.
This approach establishes a paradigm for objective assessment in surgical practice.