Systems, methods, and devices for producing appliances for expansion of the arch of a patient are provided. An arch expanding appliance comprises a force generating portion to apply an arch expansion force and a retention portion to hold the force generating portion on the teeth. The retention portion comprises a flexible portion and a stiff portion. The force generating portion applies a force to move teeth associated with the flexible portion, while the stiff portion resists movement of its associated teeth. The orthodontic appliances can be designed according to the specifications provided herein and manufactured using direct fabrication methods.

Systems, methods, and devices for producing appliances for expansion of the arch of a patient are provided. An arch expanding appliance comprises a force generating portion to apply an arch expansion force and a retention portion to hold the force generating portion on the teeth. The retention portion comprises a flexible portion and a stiff portion. The force generating portion applies a force to move teeth associated with the flexible portion, while the stiff portion resists movement of its associated teeth. The orthodontic appliances can be designed according to the specifications provided herein and manufactured using direct fabrication methods.

There is provided a system for monitoring transpulmonary pressure of a mechanically ventilated individual, comprising: a feeding tube, at least one esophageal body, a pressure sensor, and a memory having stored thereon code for: computing an estimate of esophageal wall pressure according to pressure in the esophageal body when inflated and contacting the inner wall of the esophagus, computing the transpulmonary pressure of the mechanically ventilated target individual according to the esophageal wall pressure, periodically inflating and deflating the esophageal body for periodic monitoring of the transpulmonary pressure of the mechanically ventilated target patient while the feeding tube is in use, and computing instructions for adjustment of parameter(s) of a mechanical ventilator that automatically ventilates the target individual according to the computed transpulmonary pressure, wherein the instructions for adjustment of parameter(s) of the mechanical ventilator are computed while the feeding tube is in place without removal of the feeding tube.

There is provided a system for monitoring transpulmonary pressure of a mechanically ventilated individual, comprising: a feeding tube, at least one esophageal body, a pressure sensor, and a memory having stored thereon code for: computing an estimate of esophageal wall pressure according to pressure in the esophageal body when inflated and contacting the inner wall of the esophagus, computing the transpulmonary pressure of the mechanically ventilated target individual according to the esophageal wall pressure, periodically inflating and deflating the esophageal body for periodic monitoring of the transpulmonary pressure of the mechanically ventilated target patient while the feeding tube is in use, and computing instructions for adjustment of parameter(s) of a mechanical ventilator that automatically ventilates the target individual according to the computed transpulmonary pressure, wherein the instructions for adjustment of parameter(s) of the mechanical ventilator are computed while the feeding tube is in place without removal of the feeding tube.

A virtual reality system providing a virtual robotic surgical environment, and methods for using the virtual reality system, are described herein. Within the virtual reality system, various user modes enable different kinds of interactions between a user and the virtual robotic surgical environment. For example, one variation of a method for facilitating navigation of a virtual robotic surgical environment includes displaying a first-person perspective view of the virtual robotic surgical environment from a first vantage point, displaying a first window view of the virtual robotic surgical environment from a second vantage point and displaying a second window view of the virtual robotic surgical environment from a third vantage point. Additionally, in response to a user input associating the first and second window views, a trajectory between the second and third vantage points can be generated sequentially linking the first and second window views.

A virtual reality system providing a virtual robotic surgical environment, and methods for using the virtual reality system, are described herein. Within the virtual reality system, various user modes enable different kinds of interactions between a user and the virtual robotic surgical environment. For example, one variation of a method for facilitating navigation of a virtual robotic surgical environment includes displaying a first-person perspective view of the virtual robotic surgical environment from a first vantage point, displaying a first window view of the virtual robotic surgical environment from a second vantage point and displaying a second window view of the virtual robotic surgical environment from a third vantage point. Additionally, in response to a user input associating the first and second window views, a trajectory between the second and third vantage points can be generated sequentially linking the first and second window views.

Algorithms for detecting endotracheal intubation and/or misplacement of endotracheal tubes in child patients during anesthesia for use with anesthesia machines, mechanical ventilators, and/or respiratory function monitors. An algorithm uses end-tidal carbon dioxide (EtCO.sub.2), and tidal volume (TV) or peak inspiratory pressure (PIP) to detect exact intubation time. Another algorithm uses respiratory parameters to identify and/or confirm the type of airway device used during mechanical ventilation, and to detect if and when an issue has arisen with use of a specific airway device to provide real-time decision support to attending medical care professionals.

Algorithms for detecting endotracheal intubation and/or misplacement of endotracheal tubes in child patients during anesthesia for use with anesthesia machines, mechanical ventilators, and/or respiratory function monitors. An algorithm uses end-tidal carbon dioxide (EtCO.sub.2), and tidal volume (TV) or peak inspiratory pressure (PIP) to detect exact intubation time. Another algorithm uses respiratory parameters to identify and/or confirm the type of airway device used during mechanical ventilation, and to detect if and when an issue has arisen with use of a specific airway device to provide real-time decision support to attending medical care professionals.

The present disclosure relates to energy-based surgical procedures. In accordance with aspects of the present disclosure, a computer implemented method includes accessing an image of tissue of a patient, accessing control parameter values of a generator configured to provide energy based on control parameters, processing the image of the tissue and the control parameter values by an artificial-intelligence learning system to provide an output relating to configuration of the control parameters, providing an indication to a clinician based on the output where the indication indicates whether to maintain the control parameter values, and providing adjusted control parameter values for the generator based on the output of the artificial-intelligence learning system if the indication indicates not to maintain the control parameter values.

Systems and methods may be used to predict an applicable a hearing assistance device shell or model. For example, a method may include obtaining patient information, determining, using a machine learning trained model, a correlation between an input vector and each of a plurality of feature vectors corresponding to a plurality of hearing assistance device models, and ranking the plurality of hearing assistance device models based on respective correlations to the input vector. Information corresponding to a highest ranked hearing assistance device model may be output.