Medtronic had 67 patents in artificial intelligence during Q2 2024. Medtronic Plc’s patents in Q2 2024 focus on innovative technologies for surgical procedures, including computer-implemented methods for predicting surgical states and detecting instruments, surgical navigation systems for guiding medical devices through branched structures, classifying oxygen desaturation events using neural networks, ultrasonic surgical systems for sealing vessels with feedback control, and analyzing image data to identify features like bubbles. GlobalData’s report on Medtronic gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Medtronic had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Detection of surgical phases and instruments (Patent ID: US20240206989A1)
The patent filed by Medtronic Plc describes a computer-implemented method that utilizes machine-learning models to predict the state of a surgical procedure and detect surgical instruments depicted in a video stream. The method involves identifying specific surgical instruments, determining their motion profiles, and providing user feedback based on the detected instrument movements. The system includes components for training machine-learning models, capturing video streams with associated inputs, executing the models to predict states and detect instruments, and generating outputs such as state indicators, instrument indicators, and motion profiles for display.
Additionally, the patent covers a computer program product that predicts surgical procedure states and detects surgical instruments in video streams using machine-learning models trained to share extracted features. The program generates motion profiles of detected instruments, outputs state indicators, and instrument indicators correlated with the video stream. The motion profiles can be displayed in synchronization with video playback, recorded in three-dimensional graphs illustrating instrument motion over time, and include anatomical structures. The program also utilizes multi-resolution segmentation for generating motion profiles, producing segmentation maps of regions with estimated features, including parts of the surgical instruments.
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