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Automated Dissection Protocol for Tumor Enrichment in Low Tumor Content Tissues
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A data-driven performance dashboard for surgical dissection.

Amir Baghdadi1, Sanju Lama1, Rahul Singh1,2

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

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|July 23, 2021
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Summary
This summary is machine-generated.

This study introduces a SmartForceps app to track surgical tool force, enhancing skill assessment and training. It democratizes surgical data, enabling objective performance monitoring and improvement via mobile devices.

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Area of Science:

  • Surgical Technology
  • Data Science in Medicine
  • Surgical Education

Background:

  • Surgical errors and complications carry significant patient and economic costs.
  • Inappropriate tool-tissue force exertion is a key factor in surgical errors.
  • Sensorized tools offer objective monitoring of surgical performance.

Purpose of the Study:

  • To present the SmartForceps data app for tracking and analyzing surgical performance and finesse.
  • To establish a platform for skill assessment and sharing in surgical training.
  • To democratize surgical data through a mobile-based connectivity interface.

Main Methods:

  • Development of the SmartForceps data app with an Expert Room environment.
  • Integration of geospatial information and data distribution for engineered features.
  • Implementation of performance dashboards, skill prediction, and task recognition tools.

Main Results:

  • The app provides objective performance tracking and analysis through surgeon and data scientist interfaces.
  • It enables comparison with expert surgeon performance and facilitates skill improvement.
  • Interactive infographics and tools enhance performance monitoring and comparison.

Conclusions:

  • The SmartForceps app democratizes surgical data, offering broad geographic reach via mobile devices.
  • It supports artificial intelligence model development for enhanced surgical training and performance.
  • Objective monitoring and data sharing can significantly improve surgical finesse and reduce errors.