Patents by Inventor Vishal JAYAKUMAR

Vishal JAYAKUMAR has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240420467
    Abstract: Methods, non-transitory computer readable media, and arthroscopic video analysis apparatuses and systems that facilitate improved analysis of videos of arthroscopic procedures are disclosed. With this technology, analytical data related to the video feed of an arthroscopic surgery can be obtained using machine learning models and associated with the video feed. The generated videos can be output in real-time to provide contextual information related to the surgical procedure, or can be saved for playback for training or informational purposes.
    Type: Application
    Filed: June 26, 2024
    Publication date: December 19, 2024
    Applicants: Smith & Nephew, Inc., Smith & Nephew Orthopaedics AG, Smith & Nephew Asia Pacific Pte. Limited
    Inventors: Brian William QUIST, Vishal JAYAKUMAR, Carlos A. RODRIGUEZ
  • Patent number: 12051245
    Abstract: Methods, non-transitory computer readable media, and arthroscopic video analysis apparatuses and systems that facilitate improved analysis of videos of arthroscopic procedures are disclosed. With this technology, analytical data related to the video feed of an arthroscopic surgery can be obtained using machine learning models and associated with the video feed. The generated videos can be output in real-time to provide contextual information related to the surgical procedure, or can be saved for playback for training or informational purposes.
    Type: Grant
    Filed: September 20, 2023
    Date of Patent: July 30, 2024
    Assignees: SMITH & NEPHEW, INC., SMITH & NEPHEW ORTHOPAEDICS AG, SMITH & NEPHEW ASIA PACIFIC PTE. LIMITED
    Inventors: Brian William Quist, Vishal Jayakumar, Carlos A. Rodriguez
  • Publication number: 20240013537
    Abstract: Methods, non-transitory computer readable media, and arthroscopic video analysis apparatuses and systems that facilitate improved analysis of videos of arthroscopic procedures are disclosed. With this technology, analytical data related to the video feed of an arthroscopic surgery can be obtained using machine learning models and associated with the video feed. The generated videos can be output in real-time to provide contextual information related to the surgical procedure, or can be saved for playback for training or informational purposes.
    Type: Application
    Filed: September 20, 2023
    Publication date: January 11, 2024
    Applicants: Smith & Nephew, Inc., Smith & Nephew Orthopaedics AG, Smith & Nephew Asia Pacific Pte. Limited
    Inventors: Brian William QUIST, Vishal JAYAKUMAR, Carlos A. RODRIGUEZ
  • Patent number: 11810356
    Abstract: Methods, non-transitory computer readable media, and arthroscopic video analysis apparatuses and systems that facilitate improved analysis of videos of arthroscopic procedures are disclosed. With this technology, analytical data related to the video feed of an arthroscopic surgery can be obtained using machine learning models and associated with the video feed. The generated videos can be output in real-time to provide contextual information related to the surgical procedure, or can be saved for playback for training or informational purposes.
    Type: Grant
    Filed: August 19, 2022
    Date of Patent: November 7, 2023
    Assignees: SMITH & NEPHEW, INC, SMITH & NEPHEW ORTHOPAEDICS AG, SMITH & NEPHEW ASIA PACIFIC PTE. LIMITED
    Inventors: Brian William Quist, Vishal Jayakumar, Carlos A. Rodriguez
  • Publication number: 20220406061
    Abstract: Methods, non-transitory computer readable media, and arthroscopic video analysis apparatuses and systems that facilitate improved analysis of videos of arthroscopic procedures are disclosed. With this technology, analytical data related to the video feed of an arthroscopic surgery can be obtained using machine learning models and associated with the video feed. The generated videos can be output in real-time to provide contextual information related to the surgical procedure, or can be saved for playback for training or informational purposes.
    Type: Application
    Filed: August 19, 2022
    Publication date: December 22, 2022
    Inventors: Brian William QUIST, Vishal JAYAKUMAR, Carlos A. RODRIGUEZ