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Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

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Intraoperative surgery room management: A deep learning perspective.

Leonardo Tanzi¹, Pietro Piazzolla¹, Enrico Vezzetti¹

¹DIGEP, Polytechnic University of Turin, Torino, Italy.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS

|June 9, 2020

Summary

This summary is machine-generated.

Deep learning (DL) is revolutionizing surgery, with artificial intelligence (AI) applications showing promising results in clinical settings. These advancements are paving the way for an intelligent operating room (IOR) to enhance surgical workflows.

Keywords:

deep learning intraoperative neural network surgical workflow

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Area of Science:

Medical Technology
Computer Science
Surgical Innovation

Background:

Deep learning (DL) is increasingly being explored for its potential in various medical fields.
Intraoperative surgical applications represent a critical area for technological advancement.
Existing surgical techniques can benefit from enhanced data analysis and decision support.

Purpose of the Study:

To systematically review the literature on deep learning (DL) methods in intraoperative surgery.
To analyze data collection strategies, objectives, and DL paradigms used in these applications.
To assess the current impact and future potential of DL in surgical settings.

Main Methods:

A comprehensive literature search was conducted using established databases and specific keywords.
A total of 996 papers were identified, with 52 selected for in-depth analysis.
The review focused on studies published after January 2015 to ensure relevance.

Main Results:

Preliminary results indicate that DL implementation in clinical settings is highly encouraging.
Artificial intelligence (AI) applications have emerged across nearly all surgical sub-fields.
DL-based techniques have demonstrated superior performance compared to traditional methods in most cases.
A conceptual framework for an intelligent operating room (IOR) has been proposed based on these findings.

Conclusions:

Deep learning (DL) and artificial intelligence (AI) are transforming the field of surgery.
Numerous applications, including context detection and operating room management, are being developed.
The ongoing evolution of these technologies is leading towards the realization of an intelligent operating room (IOR).
The integration of advanced technologies promises to significantly improve surgical workflow efficiency and outcomes.