Surgical Stage Video Segmentation for Secure Fast Transmission
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Solution Overview
Problem
Existing surgical video management systems face issues with tampering, inefficient storage and transmission, and lack of transparent monetization, requiring a secure, efficient, and intelligent method to manage and transmit detailed surgical step videos.
Innovation Solution
A system utilizing blockchain technology to segment surgical videos, manage connections and intervals, and implement smart contracts for secure transactions, combined with a cache server for stable streaming and AI-driven recommendation of optimal surgical steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If surgical videos are stored as complete files, then the entire surgical procedure can be reviewed, but the storage capacity requirement increases and transmission speed decreases
Solution Approach 1:
The surgical video is divided into multiple segments based on surgical steps, allowing only the required segments to be transmitted and stored, thereby reducing storage capacity requirements and improving transmission speed while maintaining the ability to review complete procedures when needed
2Productivity
If surgical videos are segmented by surgical steps, then transmission speed and storage efficiency improve, but the complexity of managing video segments and their connections increases
Solution Approach 1:
A blockchain is introduced as an intermediary system to manage video segments, their connections, and intervals. The blockchain automatically tracks segment relationships and provides tamper-proof management, reducing the operational complexity of handling segmented videos while maintaining transmission efficiency
3Reliability
If blockchain is used to manage video segments, then tampering prevention improves, but the system complexity and data storage requirements increase
Solution Approach 1:
The blockchain is used to extract and store only the critical metadata about video segments (connections, intervals, timestamps) rather than the actual video data. This approach provides tampering prevention for the management structure while minimizing the storage burden and system complexity compared to storing all video data on the blockchain
4Measurement precision
If AI-based surgical step determination is implemented, then the relevance and quality of transmitted videos improve, but the processing time and computational resources increase
Solution Approach 1:
The AI model performs preliminary analysis of surgical videos and determines optimal segments in advance, allowing the system to prepare and prioritize video transmission before actual viewing is needed. This reduces processing time during transmission by having the segmentation and relevance determination completed beforehand
Data Source
AI summary
According to the present invention, a surgical stage image transmission system may be provided, the system comprising: a content server configured to store a plurality of surgery images; an image patch management server configured to receive surgery-related information including surgery type, and segment and store, on the basis of the surgery-related information, the plurality of surgery images stored in the content server, the surgery images being segmented on the basis of detailed surgical stages; a surgical stage determination server configured to determine detailed surgical stages on the basis of the type of surgery to be received by a patient and determine each image patch related to each of the detailed surgical stages; and a user terminal configured to receive a plurality of image patches on the basis of the detailed surgical stages determined in the surgical stage determination server.