Tracheal Intubation Image Analysis for Objective Difficulty Evaluation
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Solution Overview
Problem
Current methods for evaluating the difficulty of tracheal intubation are subjective and lack objective criteria, making it difficult to provide immediate feedback and training assistance in high-risk, high-tech medical procedures.
Innovation Solution
A processing method and system for tracheal intubation images that performs real-time segmentation and analysis of images during staged intubation, using object recognition to identify structural objects and determine stage intubation times and sequences, thereby establishing an objective effectiveness evaluation method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional video laryngoscope or video stylet is used to take simultaneous photography during intubation, then images are recorded for subsequent viewing and learning, but the images cannot be used for systematic structural analysis and time sequence analysis of the intubation process
Solution Approach 1:
The patent segments the intubation process into distinct stages by identifying key anatomical structures (epiglottis, larynx, glottis, endotracheal tube) and their temporal sequences. This segmentation transforms continuous video images into discrete, analyzable stages, enabling systematic structural analysis and time sequence analysis that were previously unavailable.
Solution Approach 2:
The patent replaces manual interpretation of intubation images with automated image recognition algorithms and computer vision technology. This substitution transforms the mechanical process of manual image analysis into an automated computational system, enabling objective evaluation and systematic analysis of intubation processes.
2Measurement precision
If evaluation of intubation difficulty is based on operator's subjective judgment and clinical intubation results, then evaluation can be conducted without additional equipment, but considerable differences in evaluation of difficulty in intubation occur
Solution Approach 1:
The patent establishes a feedback mechanism where intubation images are automatically analyzed and processed to generate objective evaluation results. The system provides real-time feedback on intubation difficulty, stage completion, and procedural quality, replacing subjective operator judgment with data-driven objective metrics that can be consistently applied across different operators and institutions.
Solution Approach 2:
The patent introduces an intermediary image processing system that acts as a mediator between the raw intubation images and the final evaluation results. This intermediary system standardizes the evaluation process by automatically identifying anatomical structures, timing events, and generating consistent difficulty assessments, thereby eliminating inter-operator variability.
3Loss of time
If images recorded by video laryngoscope are used only for subsequent viewing and learning, then no additional processing is needed, but the images cannot provide real-time feedback to assist operation and training
Solution Approach 1:
The patent performs preliminary processing of intubation images during the procedure itself, rather than waiting for post-procedure analysis. By implementing real-time image recognition, structural analysis, and time sequence detection, the system provides immediate feedback that can guide ongoing intubation attempts and training, eliminating the time delay associated with retrospective analysis.
Data Source
AI summary
A processing method and system for tracheal intubation images, and an effectiveness evaluation method for tracheal intubation are provided. A database containing images of the target structure and important steps in the tracheal intubation process is established first, and then the machine learning based on the images stored in the database is performed to construct a system that automatically recognizes the target structure. Wherein, the time difference between the two objects recognized in the intubation image is defined as a stage intubation time, and the stage intubation times are tailored in chronological order to establish the intubation time sequence. The intubation time sequence and stage intubation time are used as methods for evaluating the effectiveness of tracheal intubation and establishing a staged effectiveness evaluation model for tracheal intubation.