Avent, Inc.

Joost L Mulders

Steve Saeed Khalaj

Michael Rashidi Avendi

Hasnain Somji

Kenneth C Hsu

Shane A Duffy

Marc Comtois

Shirzad Shahriari

Dominique J Fantasia

Ambar A Avila

Arne Jorgen Madsen

Aimee T Bui

Bridget F Kuske

A patient compliance system is provided that includes a patient monitoring material for determining movement activity associated with a joint of the patient. The patient monitoring material includes at least one sensor for sensing the movement activity and a transmitter. The system also includes a device having a receiver and a processor. The transmitter transmits the movement activity to the receiver, and the processor determines parameters associated with compliance with a rehabilitation/physical therapy program based on the movement activity. A method for monitoring movement activity of a patient is also provided. The method includes sensing movement activity associated with a joint of the patient via at least one sensor embedded within or attached to a patient monitoring material that surrounds the joint; transmitting the movement activity to a device; and determining parameters associated with compliance with a rehabilitation/physical therapy program based on the movement activity via a processor.

Patient monitoring system for determining movement activity

The present invention is directed to a computing system and method for the real-time automatic identification and tracking of a medical instrument and optionally the identification of at least one anatomical object in an image generated by an imaging system. The method includes generating the image via the imaging system and providing the image to a processor of a computing system. Further, the method includes developing and training at least one machine-learned model to automatically identify or locate the medical instrument and optionally at least one machine-learned model to identify or locate the anatomical object and the surrounding tissue in the image. Moreover, the method includes automatically labeling the identified medical instrument and optionally the identified anatomical object and surrounding tissue on the image. Further, the method also includes displaying the labeled image to a user in real-time.

System and method for identification, labeling, and tracking of a medical instrument

The present invention is directed to a system and method for automatic detection, localization, and semantic segmentation of at least one anatomical object in a parameter space of an image generated by an imaging system. The method includes generating the image via the imaging system and providing the image of the anatomical object and surrounding tissue to a processor. Further, the method includes developing and training a parameter space deep learning network comprising convolutional neural networks to automatically detect the anatomical object and the surrounding tissue of the parameter space of the image. The method also includes automatically locating and segmenting, via additional convolutional neural networks, the anatomical object and surrounding tissue of the parameter space of the image. Moreover, the method includes automatically labeling the identified anatomical object and surrounding tissue on the image. Thus, the method also includes displaying the labeled image to a user in real time.

System and method for automatic detection, localization, and semantic segmentation of anatomical objects

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Costa Mesa, CA, United States of America

Joost L Mulders