Cloud-Based 3D Surgical Model Reconstruction System
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Solution Overview
Problem
The healthcare industry faces challenges in efficiently managing surgical procedures due to a shortage of healthcare professionals and the need for advanced technological assistance, particularly in surgical planning and execution, where current solutions struggle with data security, real-time rendering, and collaborative 3D visualization.
Innovation Solution
A system that utilizes cloud-based computing and holographic projections to reconstruct medical imaging data into 3D models, allowing for remote surgical planning, guidance, and training by simulating surgical acts on a digital model, incorporating artificial intelligence and numerical mathematic modeling for personalized therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If cloud-based computing is used to reconstruct medical imaging data into 3D models, then manufacturing precision and measurement precision are improved, but device complexity increases
Solution Approach 1:
The patent introduces a cloud-based computing platform as an intermediary between raw medical imaging data and surgical visualization systems. This cloud platform performs the complex computational tasks of reconstructing 3D models from 2D medical images, thereby improving model accuracy while isolating the complexity from the local surgical systems that operators use.
Solution Approach 2:
The patent replaces traditional local computational systems with cloud-based computing infrastructure. This substitution allows complex 3D reconstruction algorithms to be executed remotely, providing high-precision models without requiring sophisticated hardware at the point of care, thus improving precision while managing device complexity through externalization.
2Ease of operation
If holographic projection is used for real-time surgical guidance, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent employs holographic projection technology as an intermediary layer between the surgical team and the patient's anatomy. This projection system overlays 3D anatomical models and surgical guidance directly into the surgeon's field of view, making complex surgical information accessible and easy to interpret without requiring the surgeon to interact with complex control systems.
3Loss of information
If remote computing architecture is used to store and process medical imaging data, then loss of information is reduced, but device complexity increases
Solution Approach 1:
The patent introduces a remote computing architecture as an intermediary storage and processing system for medical imaging data. This cloud-based infrastructure acts as a centralized repository that maintains high-fidelity copies of patient data, reducing information loss through centralized management while isolating the complexity of data management from the surgical workflow systems.
4Manufacturing precision
If artificial intelligence and numerical mathematic modeling are used to simulate surgical acts, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces physical surgical training and planning with virtual simulations powered by artificial intelligence and numerical mathematic modeling. These computational models simulate surgical acts on digital twins of patient anatomy, providing highly accurate predictions of surgical outcomes without requiring physical prototypes or extensive physical training resources.
Data Source
AI summary
A surgical support method including obtaining raw medical imaging data corresponding to a user from a remote computing architecture and reconstructing a digital model from the obtained raw medical imaging data. The digital model is two-dimensional or three-dimensional. The method includes determining at least one pathology based on the digital model, obtaining a sequence of surgical acts based on the at least one pathology, and generating a plurality of three-dimensional scenes by applying the sequence of surgical acts to the digital model.


