Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system for training or improved performance, including comparing sensed, real-time user positioning data and data received from the equipment system during use to reference positioning and procedure outcome data, and generating and providing to a user real-time position-based and outcome-based 3D AR feedback based on comparing the sensed and reference data.

Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system to achieve improved diagnostic or treatment outcomes, including comparing sensed, real-time user positioning data and data received from the equipment system during use to reference positioning and procedure outcome data, and generating and providing to a user real-time position-based and outcome-based 3D AR feedback based on comparing the sensed and reference data.

Abstract: An adaptive guidance system providing procedure instruction data to a user using an equipment system to perform a procedure. The guidance system gathers user condition data (e.g., electroencephalography (EEG) data, electrocardiography (EKG) data, near infrared skin spectroscopy data, skin galvanometry data, heart rate data, heart rate variability data, respiratory data, radiation dosimetry data, eye movement data, pupil dilation data, or two or more thereof) related to a user state, and generates, re-generates, or modifies the procedure instruction data if the user condition data indicates the user is in a state of physical, mental, or emotional impairment, such as fatigue, cognitive overload, radiation exposure, toxin exposure, stress, illness, depression, intoxication by alcohol or a drug, a mismatch between the user's perceived skill level and true skill level, or two or more thereof.

Abstract: A system, comprising at least one medical device located at a medical facility, wherein each medical device is configured to transmit medical device data; a medical data transfer module configured to (a) directly or indirectly receive the medical device data transmitted by the at least one medical device and (b) securely transmit the data to a medical data cloud module; and the medical data cloud module, wherein the medical data cloud module is not located at the medical facility, and the medical data cloud module is configured to (a) receive the data securely transmitted by the medical data transfer module and (b) securely store the received data. Methods of securely transmitting and/or securely storing medical data by use of one or more components of the system.

Abstract: A system, comprising at least one medical device located at a medical facility, wherein each medical device is configured to transmit medical device data; a data extraction module configured to (a) receive the raw medical device data and (b) extract medical device data from the raw medical device data; medical data transfer module configured to (a) directly or indirectly receive the medical device data from the data extraction module and (b) securely transmit the data to a medical data cloud module; and the medical data cloud module, wherein the medical data cloud module is not located at the medical facility, and the medical data cloud module is configured to (a) receive the data securely transmitted by the medical data transfer module and (b) securely store the received data. Methods of securely transmitting and/or securely storing medical data by use of one or more components of the system.

Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system to achieve improved diagnostic or treatment outcomes, including comparing sensed, real-time user positioning data and data received from the equipment system during use to reference positioning and procedure outcome data, and generating and providing to a user real-time position-based and outcome-based 3D AR feedback based on comparing the sensed and reference data.

Abstract: Methods for developing a machine learning model of a neural network for classifying medical images using a medical imaging system such as an ultrasound system. The methods involve capturing images during a first medical procedure, analyzing the images for the presence of one or more features, labeling the images as belonging to one or more classes, splitting the labeled images into a training set and a validation set. Training and validation processes are then performed, and the machine learning model may be used when training process metrics and validation process metrics for the training and validation processes are within acceptable thresholds.

Abstract: A guidance system providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system, to achieve improved procedural outcomes in the use of the equipment system.

Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of a medical equipment system to achieve improved diagnostic or treatment outcomes in the use of the medical equipment. The methods involve providing real-time position-based 3D AR feedback and real-time outcome-based 3D AR feedback to the user via an augmented reality user interface (ARUI). The feedback may be provided to the user via a head mounted display (HMD).

Abstract: A medical guidance system providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a novice user of medical equipment having limited medical training, to achieve improved diagnostic or treatment outcomes.

Abstract: A medical guidance system providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a novice user of medical equipment having limited medical training, to achieve improved diagnostic or treatment outcomes.

Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system to achieve improved outcomes in the use of the equipment. The methods involve providing real-time real-time position-based 3D AR feedback and the real-time outcome-based 3D AR feedback to the user via an augmented reality user interface (ARUI). The feedback may be provided to the user via a head mounted display (HMD).

Abstract: Methods for developing a machine learning model of a neural network for classifying medical images.

Abstract: A guidance system providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system, to achieve improved procedural outcomes in the use of the equipment system.

Abstract: A medical augmented reality (AR) guidance system providing procedure instruction data to a user using a medical equipment system to perform a procedure. The AR guidance system gathers also comprises an analysis module configured to analyze medical procedure result data, for example, if the medical procedure result data comprises one or more ultrasound images, the analysis module may be configured to analyze the one or more ultrasound images for the presence of one or more kidney stones, the presence of one or more blood clots, or the presence of one or more blockages in one or more blood vessels.

Abstract: An adaptive augmented reality (AR) guidance system providing procedure instruction data to a user using an equipment system to perform a procedure. The AR guidance system gathers user condition data (e.g., electroencephalography (EEG) data, electrocardiography (EKG) data, near infrared skin spectroscopy data, skin galvanometry data, heart rate data, heart rate variability data, respiratory data, radiation dosimetry data, eye movement data, pupil dilation data, or two or more thereof) related to a user state, and generates, re-generates, or modifies the procedure instruction data if the user condition data indicates the user is in a state of physical, mental, or emotional impairment, such as fatigue, cognitive overload, radiation exposure, toxin exposure, stress, illness, depression, intoxication by alcohol or a drug, a mismatch between the user's perceived skill level and true skill level, or two or more thereof.

Abstract: A medical augmented reality (AR) guidance system providing procedure instruction data to a user using a medical equipment system to perform a procedure. The AR guidance system gathers also comprises an analysis module configured to analyze medical procedure result data, for example, if the medical procedure result data comprises one or more ultrasound images, the analysis module may be configured to analyze the one or more ultrasound images for the presence of one or more kidney stones, the presence of one or more blood clots, or the presence of one or more blockages in one or more blood vessels. The system also transmits data to a remote location, such as for remote storage and/or analysis.

Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of a medical equipment system to achieve improved diagnostic or treatment outcomes.

Abstract: A medical guidance system providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a novice user of medical equipment having limited medical training, to achieve improved diagnostic or treatment outcomes.

Abstract: Methods for providing real-time, three-dimensional (3D) augmented reality (AR) feedback guidance to a user of an equipment system to achieve improved diagnostic or treatment outcomes.