Computer Vision Surgical Instrument Tracking
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Solution Overview
Problem
Current methods for preventing retained surgical instruments (RSI) during surgeries are inadequate and prone to human error, leading to potential patient danger and increased healthcare costs due to the need for additional surgeries to remove misplaced instruments.
Innovation Solution
An AI-based automated computer vision system that uses light sources, sensors, and computer processing to detect and track surgical instruments in real-time, alerting medical personnel to any instruments left inside the patient through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual counting methods are used to track surgical instruments, then the system complexity is low, but the reliability of preventing retained surgical instruments is insufficient due to human error
Solution Approach 1:
The patent replaces manual mechanical counting methods with an automated optical detection system using cameras and image processing algorithms to detect and track surgical instruments, thereby eliminating human error while maintaining manageable system complexity through software-based solutions
Solution Approach 2:
The system enables self-service by allowing surgical instruments to be automatically detected and tracked without requiring active participation from surgical team members, with the computer vision system autonomously monitoring instrument presence and providing real-time alerts
2Reliability
If automated detection systems are implemented to track all surgical instruments, then the reliability of preventing RSI improves, but the device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using a single computer vision system to perform multiple tasks including detecting surgical instruments, tracking their movement, counting them, and providing real-time alerts, thereby achieving high reliability without proportionally increasing system complexity
Solution Approach 2:
The system introduces an intermediary computer vision processing layer that bridges the gap between simple camera detection and complex instrument tracking, using image processing algorithms to automatically identify, classify, and monitor surgical instruments without requiring direct complex interaction between multiple system components
3Object-affected harmful factors
If real-time tracking of surgical instruments is performed, then patient safety is enhanced, but the use of energy and computational resources increases
Solution Approach 1:
The patent implements periodic action by capturing images at regular intervals during surgery rather than continuous high-speed recording, which reduces computational energy consumption while still providing real-time tracking capability and maintaining patient safety
Solution Approach 2:
The system applies partial action by focusing computational resources only on detecting and tracking surgical instruments within the surgical field, rather than processing all visual data, thereby reducing energy consumption while maintaining accurate instrument monitoring for patient safety
Data Source
AI summary
Certain embodiments may relate to apparatuses and methods for performing surgical procedures. For example, a method may comprise initiating detection and tracking of at least one surgical instrument (including associated surgical material) within a surgical area. The method may further comprise performing a surgical procedure with the at least one surgical instrument and material and ending detection and tracking of the at least one surgical instrument and material within the surgical area. The method may further comprise displaying at least one indication of location status of the at least one surgical instrument.