Embodiments of architecture, systems, and methods to develop a learning/evolving system to robotically perform and model one or more activities of a medical procedure where the medical procedure may include diagnosing a patient's medical condition(s), treating medical condition(s), and robotically diagnosing a patient's medical condition(s) and performing one or more medical procedure activities based on the diagnosis without User intervention where the activities may be performed in computer-based environment formed by the learning/evolving system, live, or a combination thereof.

A computer-implemented method for employing a surgical instrument educational platform to train medical personnel to identify, characterize, and organize surgical instrumentation and surgical instrumentation trays includes selecting a level from one or more levels on a display of an electronic device, selecting a surgical category from a plurality of surgical categories, in response to selecting the surgical category, an image of a surgical instrument is displayed on the display of the electronic device and a query is made to identify the image of the surgical instrument, loading surgical instrument options to allow a user to associate the image of the surgical instrument to one of the surgical instrument options, prompting the user to select an option from the surgical instrument options, and in response to the selected option by the user, outputting a result.

A computer-implemented method for employing a surgical instrument educational platform to train medical personnel to identify, characterize, and organize surgical instrumentation and surgical instrumentation trays includes selecting a level from one or more levels on a display of an electronic device, selecting a surgical category from a plurality of surgical categories, in response to selecting the surgical category, an image of a surgical instrument is displayed on the display of the electronic device and a query is made to identify the image of the surgical instrument, loading surgical instrument options to allow a user to associate the image of the surgical instrument to one of the surgical instrument options, prompting the user to select an option from the surgical instrument options, and in response to the selected option by the user, outputting a result.

An external defibrillator system includes one or more compression sensors; one or more physiological sensors; and at least one processor. The at least one processor is configured to: receive and process chest compression signals and physiological signals from the sensors, determine values for chest compression depth and/or chest compression rate based on the received chest compression signals, determine a trend of at least one physiological parameter over a period comprising multiple chest compressions based on the received physiological signals, adjust a target chest compression depth and/or target chest compression rate based on the determined trend of the at least one physiological parameter, compare the determined values for chest compression depth and/or chest compression rate to the adjusted target compression depth and/or the adjusted target compression rate, and provide feedback about the quality of chest compressions performed on the patient.

A telesurgical mentoring platform with a wheeled base, a lower rack mounted on the base, an upper rack extending vertically from the lower rack, a compactly foldable articulated arm that is configured to extend horizontally outward away from the upper rack and configured to connect to a connector piece holding an end effectuator at its distal end, a tablet personal computer; the console configured to be readily mobilized on the floor of an existing operating room and is capable of providing a connectivity point for communication, audiovisual, and data transfer services in an operating room.

An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

Disclosed herein is a system for evaluating a user during a physical cannulation simulation. The system includes a physical cannulation simulator and one or more sensors configured to measure data during the physical cannulation simulation by the user using the physical cannulation simulator. The system further includes one or more processors configured to receive the data measured by each of the one or more sensors and calculate metrics using the data. The one or more processors are further configured to apply a model to the metrics to determine a composite simulation success score and compare the composite simulation success score to a threshold score. In response to comparing the composite simulation success score to the threshold score, the one or more processors are configured to output an indication of one or more of an absolute performance or a relative performance for the first user during the physical cannulation simulation.

Aspects of the present disclosure relate to a wearable medical trainer. The medical trainer may be embodied as a device for simulating wounds and injuries received during a trauma event, or otherwise. Aspects of the present disclosure further relate to a medical training device for Trauma Emergency Casualty Care and Tactical Combat Casualty Care (TCCC). A wearable device may be worn by a live human (e.g., trauma actor) or simulated body (e.g., full/partial manikin, drag dummy, etc.). The medical trainers disclosed herein may include one or more simulated injuries, which may be operational or merely to provide more realism. The medical trainers disclosed herein may further include features directed toward to internal and/or external trauma injuries.

Aspects of the present disclosure relate to a wearable medical trainer. The medical trainer may be embodied as a device for simulating wounds and injuries received during a trauma event, or otherwise. Aspects of the present disclosure further relate to a medical training device for Trauma Emergency Casualty Care and Tactical Combat Casualty Care (TCCC). A wearable device may be worn by a live human (e.g., trauma actor) or simulated body (e.g., full/partial manikin, drag dummy, etc.). The medical trainers disclosed herein may include one or more simulated injuries, which may be operational or merely to provide more realism. The medical trainers disclosed herein may further include features directed toward to internal and/or external trauma injuries.