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

Search research articles

Related Experiment Video

Updated: Jun 7, 2025

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

Artificial Intelligence, Radiomics, and Computational Modeling in Skull Base Surgery.

Eric Suero Molina^1,2,3, Antonio Di Ieva^4,5,6,7

¹Computational NeuroSurgery (CNS) Lab, Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia. e.suero@uni-muenster.de.

Advances in Experimental Medicine and Biology

|November 10, 2024

Summary

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

Neurosurgeons' perspective on surgical treatment of glioblastoma: Practices, beliefs and willingness to randomize in surgical trials.

Neuro-oncology advances·2026

Same author

Quantifying the development of visual expertise in medical image interpretation using fractal eye-gaze metrics.

Medical & biological engineering & computing·2026

Same author

Characterizing Visual Neurosurgical Expertise in Brain MRI Visualization Using Eye-Tracking and 3D Fractal Dimension Analysis.

Journal of eye movement research·2026

Same author

Distinctive features of the tumor and immune microenvironment in glioblastoma.

NPJ precision oncology·2026

Same author

Correlation of Patient-Reported Symptoms With Rhinogram Features Beyond Simple Airway Resistance.

The Annals of otology, rhinology, and laryngology·2026

Same author

Flexible and scalable federated learning with deep feature prompts for digital pathology.

NPJ digital medicine·2026

Artificial intelligence (AI) and computational models enhance skull base surgery through improved diagnostics, surgical planning, and safety. These technologies promise more precise and effective procedures, leading to better patient outcomes.

Area of Science:

Neurosurgery
Medical Imaging
Artificial Intelligence

Background:

Skull base surgery presents complex challenges due to intricate anatomy.
Advancements in artificial intelligence (AI) offer potential solutions for improving surgical outcomes.
Radiomics and computational modeling are emerging fields in surgical applications.

Purpose of the Study:

To explore current applications of AI, radiomics, and computational modeling in skull base surgery.
To highlight how these technologies can enhance diagnostic accuracy and surgical planning.
To discuss the potential of AI to improve patient outcomes and preoperative assessment.

Main Methods:

Review of current AI, radiomics, and computational modeling applications.
Discussion of AI-powered technologies including liquid biopsy, machine learning, and computer vision.

Keywords:

Artificial intelligence Computational modeling Machine learning Radiomics Skull base surgery

More Related Videos

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography

Published on: January 17, 2025

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

Published on: July 17, 2020

Related Experiment Videos

Last Updated: Jun 7, 2025

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

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography

Published on: January 17, 2025

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

Published on: July 17, 2020

Analysis of computational models for diagnosis, surgical simulation, and critical structure identification.

Main Results:

AI advancements are improving diagnostic accuracy, surgical planning, and postoperative care.
Computational models aid in diagnosis, surgical simulation, and enhancing safety by identifying critical structures.
AI-powered technologies like radiomic analysis and computer vision are poised to revolutionize skull base surgery.

Conclusions:

AI-driven advancements promise safer, more precise, and effective skull base surgeries.
These technologies can significantly improve patient outcomes and preoperative assessment.
The integration of AI, radiomics, and computational modeling represents a paradigm shift in skull base surgery.