Patent ID: 11937888
Assignee: ORTHOGRID SYSTEMS HOLDING, LLC
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 7:
8. An artificial intelligence based intra-operative surgical guidance system comprising: a computing platform comprised of an at least one image processing algorithm for the classification of a plurality of intra-operative fluoroscopic medical images, said computing platform configured to execute one or more automated artificial intelligence models wherein the one or more automated artificial intelligence models comprises a neural network model providing a score for the classification for surgical outcomes, wherein the one or more automated artificial intelligence models are trained on data from a data layer, wherein the data layer includes at least a plurality of fluoroscopic surgical images, wherein the automated artificial intelligence models are trained to calculate intra-operative surgical decision risks and a visual display configured to show a surgical outcome prediction based on calculated intra-operative surgical decision risks to a user wherein the computing platform is configured to derive the surgical outcome prediction from a prediction information dataset and a prediction of known complications dataset on the data layer; wherein the algorithm layer includes a segmentation machine learning algorithm that identifies anatomical landmarks on the intra-operative fluoroscopic image;
wherein the segmentation machine algorithm utilizes information from an implant database;
wherein an algorithm on the algorithm layer registers a subject best entry-point grid template on the intra-operative fluoroscopic image;
and wherein the computing platform is configured provide on the visual display the subject best entry-point grid template for a nail-entry site and further includes an at least one performance prediction of nail-entry site.