SYSTEMS AND METHODS FOR UTILIZING ARTIFICIAL INTELLIGENCE TO GUIDE A MEDICAL DEVICE

Smart overview of the Invention

The patent application describes a system that utilizes artificial intelligence to provide navigational guidance for medical devices operating within the human body. The system involves a computer-implemented method where image data related to anatomical objects is received by a server. A trained predictive model processes this data to generate navigational guidance, which is then visually represented and transmitted to a user device for display, aiding in medical procedures like endoscopy.

Technical Field

This technology focuses on enhancing the precision of medical procedures through AI-driven guidance systems. It is particularly applicable to endoscopic procedures, where accurate navigation within the body is crucial. The system aims to reduce the learning curve for novice physicians by providing real-time, predictive guidance, thus improving procedural outcomes and reducing potential risks associated with manual navigation.

Background

Medical procedures often require intricate navigation of devices like endoscopes within the body, which can be challenging and time-consuming for practitioners to master. The system addresses these challenges by offering AI-based guidance, which can assist in tasks such as cannulation of ducts and other complex maneuvers. This approach aims to streamline the learning process and enhance the accuracy and safety of such procedures.

Methodology

The system's methodology involves several steps: receiving image data, applying a trained model to determine navigational guidance, generating visual representations, and transmitting these to a display device. The AI model uses various data inputs, including images from sensors and imaging devices like X-rays or ultrasounds, to map out anatomical features and provide a guided path for the medical device. This guidance is enhanced by feedback mechanisms that alert users to deviations from the planned path.

Training and Implementation

Training the AI model involves using historical medical procedure data to extract anatomical and device positioning data, which informs the model's guidance capabilities. The system can continuously update itself with new procedural outcomes to refine its predictive accuracy. This process ensures that the AI remains adaptive and improves over time, providing increasingly reliable navigational assistance for medical practitioners.