Abstract: A computer implemented approach using machine vision machine learning model architectures processing a stream of digital images obtained by physical sensors, such as cameras or recording equipment, for determining room states is proposed. The cameras or recording equipment operate in concert with a controller backend computing system that processes recordings made in one or a plurality of physical facilities, such as operating theatres, providing a healthcare “black box” recorder. A challenge with working with these recordings is that they are captured in a raw format and are both bandwidth and storage intensive. Predicted and estimated room states are then utilized for generating predictive outputs or improved scheduling.

Abstract: A local machine learning based recording and audio transcribing system is proposed that operates in real-time in parallel and time-synchronized with a operating theatre recorder system, modifying encoding of the operating theatre recorder system outputs for generation of the pre-processed recording files to be transmitted to a remote cloud-based processing backend using operating a centralized machine learning model data architecture across a network. By modifying the recording or the generation of the pre-processed recording files, the system can be tuned for providing increased signal resolution at more relevant portions of time or frame portions to improve the accuracy and predictive capability of a backend machine learning model that is configured for operation using the pre-processed recording files while adapting for practical network bandwidth and computing resource limitations in cloud-based implementations.

Abstract: A method and programmable computer system calculates and displays the regions where the temperature can be reliably measured in a thermal therapy procedure. The clinician or automated control system then can make an informed decision to treat these regions or plan a treatment to avoid them based on the sensitivity of surrounding structures to unintended heating.

Abstract: A method and programmable computer system calculates and displays the regions where the temperature can be reliably measured in a thermal therapy procedure. The clinician or automated control system then can make an informed decision to treat these regions or plan a treatment to avoid them based on the sensitivity of surrounding structures to unintended heating.

Abstract: The invention provides a method and apparatus for monitoring a thermal effect of a conformal thermal treatment to diseased tissue in a target volume. The method includes acquiring a reference image of the volume containing the diseased tissue at a first position of the device, determining a baseline temperature distribution of the reference image, acquiring an image of the volume containing the diseased tissue while delivering a treatment to the volume, performing a phase subtraction between the image and the reference image to determine a change in phase between the image and the reference image and determining a current spatial temperature distribution in the volume containing the diseased tissue.

Abstract: The invention provides a method and apparatus for monitoring a thermal effect of a conformal thermal treatment to diseased tissue in a target volume. The method includes acquiring a reference image of the volume containing the diseased tissue at a first position of the device, determining a baseline temperature distribution of the reference image, acquiring an image of the volume containing the diseased tissue while delivering a treatment to the volume, performing a phase subtraction between the image and the reference image to determine a change in phase between the image and the reference image and determining a current spatial temperature distribution in the volume containing the diseased tissue.