Endoscopic Video Editing for Lesion Detection Timing
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Solution Overview
Problem
Existing endoscopic examination systems lack efficiency in re-examining long-duration examination images, making it time-consuming for doctors to refer back to significant images, including those detected by AI.
Innovation Solution
A video editing device and method that acquire endoscopic videos, detect lesion timings, and extract partial videos of predetermined time periods before and after these timings to generate edited videos, allowing for efficient viewing of necessary parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire endoscopic video is reviewed, then complete examination information is obtained, but the time required for re-examination becomes excessively long
Solution Approach 1:
The patent extracts and separates significant portions of the endoscopic video (lesion detection moments, photographing instructions) from the entire video stream. By extracting only these critical segments and creating a condensed edited video, the system enables doctors to review important information without watching the complete original video, thus reducing re-examination time while preserving essential examination information.
Solution Approach 2:
The patent segments the continuous endoscopic video into discrete meaningful units based on lesion detection events and photographing instructions. These segments are then reassembled into an edited video that presents only the significant portions in a condensed format, allowing doctors to efficiently review key examination moments without time loss.
2Measurement precision
If AI lesion detection is integrated into the review process, then detection accuracy is improved, but the complexity of the review system increases
Solution Approach 1:
The patent implements self-service by having the AI system automatically detect lesions and generate timing information without requiring manual intervention or complex user input. The AI autonomously processes the video, identifies significant moments, and structures the edited video, thereby improving detection accuracy while keeping the user interface simple and the overall system operation straightforward.
Solution Approach 2:
The patent applies preliminary action by having the AI system pre-process the endoscopic video before the doctor's review. The AI automatically detects lesions, determines timing information, and creates the edited video in advance, so that when the doctor views the edited video, the complex processing is already complete, thus improving detection accuracy without adding operational complexity during the review process.
Data Source
AI summary
In a video editing device, a video acquisition means acquires an endoscopic video taken by an endoscope. A first timing acquisition means acquires a first timing at which a lesion is detected from the endoscopic video. A second timing acquisition means acquires a second timing at which an examiner instructs photographing based on the endoscopic video. An editing means generates an edited video by extracting, from the endoscopic video, a partial video of a predetermined time period before and after a timing corresponding to at least one of the first timing and the second timing, and output the edited video.