Abstract: An apparatus for screening, treatment, monitoring and/or assessment of visual impairments, comprising electronic means for simultaneously applying two separate and unrelated processing methods to images presented to a patient's eyes: a first processing method being applied to an non-amblyopic eye (the eye with the better vision), and a second processing method being applied to an amblyopic eye (the weaker eye, or the impaired eye). A method for screening, treatment, monitoring and/or assessment of visual impairments, comprising: a. defining a starting point, wherein differences between a patient's eyes are completely, or as closely as practically possible, corrected, to enable two identical or similar images to be transferred to the brain from the patient's eyes; b. defining an ending point, wherein there is no correction applied to any of the patient's eyes; c.

Abstract: A system for visualization of eye anatomy includes at least one camera having a view vector along a first axis when in a first position, a housing to which the camera is coupled, wherein the housing engages the head of a patient such that the camera is positioned adjacent a patient's eye, and an actuator that moves the camera from the first position to a second position with a view vector along a second axis that is offset from the first axis. A method of visualization of eye anatomy includes engaging a patient's head with a housing, positioning at least one camera coupled to the housing adjacent an eye, wherein the camera has a view vector along a first axis when in a first position, and moving the camera to a second position with a view vector along a second axis offset from the first axis.

Abstract: An AR headset is described to co-localize an image data set with a body of a person. The image data set of a portion of the body may be identified. The image data set can include a virtual anatomical marker to identify an anatomical location. A spatial location may be identified using a physical pointer object in a field of view of the AR headset. A spatial location of a visible anatomical feature as identified using the physical pointer object may be recorded. The registration may be triggered based on an input that the physical pointer object is located at a visible anatomical feature of the body of the person. Further, the image data set may be aligned with the body of the person using the spatial location recorded for the visible anatomical feature as referenced to the virtual anatomical marker in the image data set.

Abstract: Disclosed herein are methods and apparatus for the imaging of brain electrical activity from electromagnetic measurements, using deep learning neural networks where a simulation process is designed to model realistic brain activation and electromagnetic signals to train generalizable neural networks and a residual convolutional neural network and/or a recurrent neural network is trained using the simulated data, capable of estimating source distributions from electromagnetic measurements, and their temporal dynamics over time, for pathological signals in diseased brains, such as interictal activity and ictal signals, and physiological brain signals such as evoked brain responses and spontaneous brain activity.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: A system and methods for labeling tractography, having a tract segmentation and a tract labeling atlas, in a presence of a lesion in a brain, involving: a graphical user interface (GUI) comprising a tool configured to facilitate adjusting a displacement for intraoperatively reperforming the tract segmentation in approximately real time, modeling deformation of the tract labeling atlas by facilitating modeling a force exerted by the lesion on the brain, and defining parameters of a size, a shape, and a level of the displacement condition; and a processor in communication with the GUI and configured to: determine whether an infiltration condition and a displacement condition appears in the tractography; if the infiltration condition and the displacement condition is determined to appear in the tractography, estimate the infiltration condition and the displacement condition; if the displacement condition is determined to appear in the tractography, instruct the GUI to render the tool and model the force exerted

Abstract: A number of low-profile metallic customized, patient-specific orthopaedic surgical instruments are disclosed.

Abstract: Methods and devices for diagnosing, monitoring, and/or treating tissue through an opening or port through an airway wall are provided herein.

Abstract: A patient tracking device for insertion into an oral cavity includes a sensor housing comprising a first surface shaped to correspond to a pallet within the oral cavity. At least a portion of the first surface affixes the sensor housing to the oral cavity. An electromagnetic sensor is coupled to the sensor housing.

Abstract: Devices, Systems, and Methods for detecting a 3-dimensional position of an object, and surgical automation involving the same. The surgical robot system may include a robot having a robot base, a robot arm coupled to the robot base, and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, and/or other objects to be tracked include active and/or passive tracking markers. Cameras, such as stereophotogrammetric infrared cameras, are able to detect the tracking markers, and the robot determines a 3-dimensional position of the object from the tracking markers.