Abstract: A method includes displaying visual guidance for guiding a user through an endoscopic camera calibration process. The visual guidance guides the user to direct an endoscopic camera at a plurality of different regions of a field of calibration markers. Images captured by the endoscopic camera while the user directs the endoscopic camera at the calibration markers are received. Suitability of images for use in calibration for the endoscopic camera is determined. In accordance with determining that at least one image is suitable for use in calibration, the visual guidance is updated to indicate to the user that the respective region of the plurality of different regions of the field of calibration markers has been successfully imaged. Calibration factors for calibrating the endoscopic camera are determined based on images determined to be suitable for use in calibration for the endoscopic camera.

Abstract: A computer visual guidance system for guiding a surgeon through an arthroscopic debridement of a bony pathology, wherein the computer visual guidance system is configured to: (i) receive a 2D image of the bony pathology from a source; (ii) automatically analyze the 2D image so as to determine at least one measurement with respect to the bony pathology; (iii) automatically annotate the 2D image with at least one annotation relating to the at least one measurement determined with respect to the bony pathology so as to create an annotated 2D image; and (iv) display the annotated 2D image to the surgeon so as to guide the surgeon through the arthroscopic debridement of the bony pathology.

Abstract: A surgical tool for an endoscopic procedure includes a proximal portion and a distal portion configured for at least partial insertion in a surgical cavity of the patient during the endoscopic procedure, at least a portion of the distal portion being made of a polymer and comprising at least one fiducial marker formed by laser marking of the polymer for detection by an endoscopic imaging system.

Abstract: A method for tracking a location of interest of anatomy of a patient in medical imaging includes, at a computing system, receiving a series of medical imaging video frames captured by a medical imager imaging the anatomy of the patient; analyzing at least one frame of the series of medical imaging video frames to determine a position of the location of interest relative to the medical imager; determining at least one estimate of relative motion between the medical imager and the anatomy of the patient; and tracking the position of the location of interest relative to the medical imager based on the position of the location of interest determined from the at least one frame and the at least one estimate of relative motion between the medical imager and the anatomy of the patient.

Abstract: Presented herein are systems and methods for performing three-dimensional measurements of a surgical space using two-dimensional endoscopic images. According to an aspect, video data taken from an endoscopic imaging device can be used to generate a three-dimensional model of the surgical space represented by the video data. In one or more examples, two-dimensional images from the video data can be used to generate a three-dimensional model of the surgical space. In one or more examples, the one or more two-dimensional images of the surgical space can include a fiducial marker as part of the image. Using both the depth information and a size reference provided by the fiducial marker, the systems and methods herein can generate a three-dimensional model of the surgical space. The generated three-dimensional model can then be used to perform a variety of three-dimensional measurements in a surgical cavity in an accurate and efficient manner.

Abstract: A method for visually indicating a location of a hole to be drilled in tissue includes, at a computing system: receiving at least one endoscopic image that captures a surface of the tissue and at least a portion of a drill guide to be used for drilling the hole in the tissue; identifying in the at least one endoscopic image at least one fiducial marker disposed on the drill guide; determining a position and orientation of the at least one fiducial marker; determining a position and orientation of the hole to be drilled in the tissue based at least in part on the position and orientation of the at least one fiducial marker; and displaying a visualization of the tissue that comprises a graphical indication of the position and orientation of the hole to be drilled in the tissue.

Abstract: Devices and methods for determining a position of a hole drilled in tissue in endoscopic surgical procedures include a drill guide configured to guide a drill bit to drill a hole in tissue of internal anatomy of a patient, the drill guide comprising: a shaft configured to receive the drill bit, wherein a distal end of the shaft is configured to interface with the tissue; and at least one fiducial marker positioned proximate the distal end of the shaft and configured to provide position information for the hole in an endoscopic image captured by an endoscopic imaging device.

Abstract: The present disclosure is directed to table mount for mounting a touchscreen device to a surgical table. The table mount includes a clamp configured to releasably secure the table mount to the table, an arm assembly, and a touchscreen device docking assembly connected to the arm assembly.

Abstract: The present disclosure relates to system architectures for real-time processing and displaying of medical imaging data with no or reduced latency. An exemplary system for generating a video of a surgery can comprise: a processor configured to execute a plurality of instructions for a machine-learning model stored on a memory and a programmable circuit communicatively coupled with the processor. The programmable circuit is programmed to: receive surgical video data comprising a current frame; provide data related to the current frame to the processor; receive overlay data generated by the machine-learning model based on a previous frame captured before the current frame; generate, by a mixer of the programmable circuit, a composite frame based on the current frame and the overlay data; and output the composite frame for display as a part of the video of the surgery.

Abstract: A computer visual guidance system for guiding a surgeon through an arthroscopic debridement of a bony pathology, wherein the computer visual guidance system is configured to: (i) receive a 2D image of the bony pathology from a source; (ii) automatically analyze the 2D image so as to determine at least one measurement with respect to the bony pathology; (iii) automatically annotate the 2D image with at least one annotation relating to the at least one measurement determined with respect to the bony pathology so as to create an annotated 2D image; and (iv) display the annotated 2D image to the surgeon so as to guide the surgeon through the arthroscopic debridement of the bony pathology.

Abstract: A tool for use in endoscopic surgical procedures includes a shaft, wherein the shaft includes a first end, a second end, and a first axis; and a pointer at the first end of the shaft, wherein the pointer includes: a tip located on the first end of the pointer, and a plurality of fiducial markers disposed on the pointer, wherein at least one of the fiducial markers is disposed on a surface that extends transversely to the first axis, wherein the plurality of fiducial markers are configured for providing information for locating the tip of the pointer in an endoscopic image captured by an endoscopic imaging device.

Abstract: A method of generating a measurement of anatomy of interest from two-dimensional imaging includes receiving two-dimensional imaging associated with anatomy of interest; detecting a plurality of anatomical features of the anatomy of interest in the two-dimensional imaging using at least one machine learning model; determining characteristics of the plurality of anatomical features based on the detection of the plurality of anatomical features; and generating at least one measurement of the anatomy of interest based on at least some of the characteristics of the plurality of anatomical features.

Abstract: A method for training a machine learning model to detect substances that compromise medical imaging clarity includes receiving imaging of tissue associated with a medical procedure type; receiving imaging of one or more substances that can affect clarity of imaging associated with the medical procedure type; combining at least a portion of the imaging of the tissue and at least a portion of the imaging of the one or more substances to generate machine learning training image data in which at least a portion of the tissue is at least partially obscured by the one or more substances; and training, with the training image data, a machine learning model to detect the one or more substances in imaging generated during a medical procedure of the medical procedure type.

Abstract: A method for determining an attribute associated with anatomy of interest of a patient includes receiving first image data capturing the anatomy of interest of the patient and at least one obstruction obscuring at least a portion of the anatomy of interest of the patient; generating, using at least one machine learning model, second image data in which at least a portion of the obstruction is replaced; and determining at least one attribute associated with the anatomy of interest based on the second image data.

Abstract: Presented herein are systems and methods for performing three-dimensional measurements of a surgical space using two-dimensional endoscopic images. According to an aspect, video data taken from an endoscopic imaging device can be used to generate a three-dimensional model of the surgical space represented by the video data. In one or more examples, two-dimensional images from the video data can be used to generate a three-dimensional model of the surgical space. In one or more examples, the one or more two-dimensional images of the surgical space can include a fiducial marker as part of the image. Using both the depth information and a size reference provided by the fiducial marker, the systems and methods herein can generate a three-dimensional model of the surgical space. The generated three-dimensional model can then be used to perform a variety of three-dimensional measurements in a surgical cavity in an accurate and efficient manner.

Abstract: The present disclosure is directed to arthroscopic visualization systems and methods. The visualization system can include a camera with a fluid inflow path, wherein a proximal end of the camera is configured to fluidly connect a fluid reservoir to the fluid inflow path. The system can also include a cannula with a lumen, wherein the lumen is configured to be fluidly connected to the fluid inflow path at a distal end of the camera. In addition, the system can also include a scope, wherein the scope is configured to be connected to the distal end of the camera and a portion of the scope is configured to be inserted into the lumen of the cannula.

Abstract: According to an aspect, video data taken from an endoscopic imaging device can be used to automatically control a surgical pump for purposes of regulating fluid pressure in an internal area of a patient during an endoscopic procedure. Control of the pump can be based in part on one or more features extracted from video data received from an endoscopic imaging device. The features can be extracted from the video data using a combination of machine learning classifiers and other processes configured to determine the presence of various conditions within the images of the internal area of the patient. Using the one or more extracted features, the system can adjust the inflow and outflow settings of the surgical pump to regulate the fluid pressure of the internal area of the patient commensurate with the needs of the surgery and the patient at any given moment in time during the surgical procedure.

Abstract: A method for automatically generating and applying annotations to one or more images captured during a surgical procedure using an imaging tool are provided. In one or more examples, the annotations can be generated by applying one or more machine learning classifiers to the images to determine the presence of various features contained within the images. Optionally, the machine learning classifiers can be configured to determine the anatomy displayed in a particular image as well as the procedure step shown in a given image. Using these two determinations, the systems and methods described herein can generate one or more annotations that are then overlaid on or laid next to an image so as to provide the patient or other person viewing the image with context as to what the image is showing.

Abstract: A method for modeling a joint before, during, and/or after a medical procedure includes receiving first imaging data capturing the joint from a first imaging perspective and second imaging data capturing the joint from a second imaging perspective that is different than the first imaging perspective, the first and second imaging data generated intraoperatively via a two-dimensional imaging modality, generating three-dimensional image data by back-projecting the first and second imaging data in three-dimensional space in accordance with a relative difference between the first and second imaging perspectives, generating a three-dimensional model of the joint based on processing the three-dimensional image data with a machine learning model trained on imaging data generated via at least a three-dimensional imaging modality, and displaying a visualization based on the three-dimensional model of the joint during the medical procedure.

Abstract: A method for guiding bone removal during a surgical procedure includes receiving a two-dimensional image of at least a portion of a joint during the surgical procedure, determining an alignment of a pre-generated three-dimensional model of the at least a portion of the joint with the two-dimensional image based on one or more features in the two-dimensional image that are associated with the at least a portion of the joint, wherein the pre-generated three-dimensional model comprises a representation of planned bone removal, generating an overlay image based on the determined alignment, the overlay image comprising an overlay of at least a portion of the representation of planned bone removal on the two-dimensional image, and displaying the overlay image to guide bone removal during the surgical procedure.