Adaptive Multispectral Imaging Systems for Enhanced Surgical Visualization

Publication ID: 24-11857154_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Multispectral Imaging Systems for Enhanced Surgical Visualization,” Published Technical Disclosure No. 24-11857154_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857154_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,154.

Summary of the Inventive Concept

A next-generation surgical imaging system that leverages machine learning, neural networks, and real-time feedback to optimize illumination settings for enhanced visual acuity during medical procedures.

Background and Problem Solved

The original patent's closed-loop surgical imaging optimization system, while innovative, has limitations in its ability to adapt to real-time changes in tissue characteristics and visual acuity requirements. The new inventive concept addresses these limitations by incorporating advanced machine learning algorithms and neural networks to adaptively adjust illumination wavelengths in real-time.

Detailed Description of the Inventive Concept

The new system comprises a neural network-based image processing module that analyzes multispectral image data and adjusts illumination settings in real-time based on tissue characteristics and visual acuity requirements. The system also includes a feedback loop to refine illumination settings during the medical procedure. Additionally, the system can be integrated with wearable devices, cloud-based platforms, and predictive modeling tools to provide real-time analytics and recommendations for optimal illumination settings.

Novelty and Inventive Step

The new claims introduce a paradigm shift in surgical imaging optimization by incorporating machine learning and neural networks to adaptively adjust illumination wavelengths in real-time. This is a significant departure from the original patent's closed-loop approach, which relied on pre-defined settings and annotations.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, such as deep learning or transfer learning, or the integration of additional sensors, such as optical coherence tomography (OCT) or ultrasound. Variations could also include the use of different types of wearable devices or cloud-based platforms.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device industry, particularly in the areas of minimally invasive surgery, endoscopy, and laparoscopy. The system's ability to enhance visual acuity and reduce complications during medical procedures could lead to improved patient outcomes and reduced healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61B1/000095
A A61 A61B1/00009
A A61 A61B1/00013
A A61 A61B1/04
A A61 A61B1/045
A A61 A61B1/0638
A A61 A61B1/0655
A A61 A61B1/07
A A61 A61B34/25
A A61 A61B90/37
A A61 A61B2090/306
A A61 A61B2090/3614
A A61 A61B2090/371

Original Patent Information

Patent NumberUS 11,857,154
TitleSystems and methods for closed-loop surgical imaging optimization