AI-assisted selection of imaging mode in endoscopy
An AI-driven endoscopic system automatically selects pathology-specific imaging modes based on real-time analysis, improving diagnostic consistency and reducing training costs by enhancing anomaly detection.
DE112024003755T5Pending Publication Date: 2026-07-02GYRUS ACMI INC
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Patent Information
- Application Number
- DE112024003755
- Authority / Receiving Office
- DE · DE
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-09-12
- Filing Date
- 2024-09-11
- Publication Date
- 2026-07-02
AI Technical Summary
Technical Problem
Endoscopic imaging modalities currently rely heavily on operator experience and manual switching, leading to variations in diagnosis and treatment outcomes, and require extensive training, which is costly and inconsistent.
Method used
An AI-based system that analyzes endoscopic images in real-time to recommend personalized, pathology-specific imaging modalities using machine learning, facilitating automatic or manual adjustment of imaging modes to enhance anomaly detection.
Benefits of technology
Reduces operator dependence, enhances consistency in diagnosis and treatment, and lowers training costs by providing real-time, accurate imaging recommendations.
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Abstract
Systems, devices, and methods for determining or adapting an imaging mode for use in examining tissue or foreign bodies during an endoscopic procedure are disclosed. An exemplary endoscopy system comprises an endoscope and a control circuit. The endoscope includes an imaging system for acquiring images or video data streams of a target anatomy during an endoscopic procedure. The control circuit can generate endoscopic image or video features from the acquired images or video data streams that characterize an anomaly in the target anatomy and determine a personalized, pathology-specific imaging mode to improve the detectability of the anomaly from the images or video data streams. The recommended imaging mode can be determined using a trained machine learning model.The recommended imaging mode can be provided to a user or process to facilitate manual or automatic adjustment of the endoscopic imaging mode during the endoscopic procedure.
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