Intelligent Endoscopic Imaging System for Enhanced Visualization and Guidance

The present inventive concept discloses a next-generation endoscopic imaging system that leverages machine learning, deep learning, and 3D modeling to provide unparalleled visualization and real-time guidance during medical procedures.

The original patent, 'Method for endoscopic imaging, endoscopic imaging system and software program product', introduced a method for capturing and displaying white light and special light images. However, it had limitations in terms of automation, real-time analysis, and advanced visualization capabilities. The present inventive concept addresses these limitations by introducing intelligent automation, advanced image analysis, and 3D modeling to provide a more comprehensive and efficient endoscopic imaging system.

The new endoscopic imaging system comprises a video endoscope with at least one CMOS image sensor, a light source configured to generate white light and at least one special light, and a controller. The controller is configured to detect structures having predefined characteristics and automatically adjust the special light illumination procedure to enhance visualization. Additionally, the system uses machine learning-based algorithms to predict and highlight areas of interest, and deep learning-based approaches to analyze image sequences and detect anomalies. The system can also generate 3D models of the examination surroundings and provide real-time guidance for optimal positioning of the video endoscope.

The new claims introduce novel features such as machine learning-based image analysis, deep learning-based anomaly detection, and 3D modeling for real-time guidance. These advancements provide a significant inventive step over the original patent, enabling more efficient and effective endoscopic imaging procedures.

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, various deep learning architectures, or alternative 3D modeling techniques. Additionally, the system could be adapted for use in different medical specialties or for non-medical applications such as industrial inspection.

The intelligent endoscopic imaging system has significant commercial potential in the medical device industry, particularly in the fields of gastroenterology, urology, and general surgery. The system's advanced visualization and guidance capabilities could improve patient outcomes, reduce procedure times, and enhance the overall efficiency of medical procedures.