Imaging systems projecting augmented information on a physical object that at a minimum include a processor, a memory device operably connected to the processor, a projector operably coupled to the processor, and a distance-measuring device operably connected to the processor. The memory device stores augmented image information, and the processor is configured to project augmented image information onto the physical object. The distance-measuring device is configured to measure the distance to the physical object. The processor uses distance measurement information from the distance measuring device to adjust scaling of the augmented image information. The processor provides the scale adjusted augmented image information to the projector. System can also be used for fluorescence imaging during open surgery, for endoscopic fluorescence imaging and for registration of surgical instruments.

A surgical system is provided. The surgical system includes a camera operable to capture images and/or video. A projector is operable to project light, and a controller is communicatively coupled with the camera and the projector. The controller is operable to track movement of bone in real-time during surgery based on the images and/or video captured by the camera, and control the projector to project the light including a cutting line on the bone to indicate a cutting plane for cutting the bone during surgery.

Systems and methods of tracking the position of an endoscope within a patient's body during an endoscopic procedure is disclosed. The devices and methods include determining a position of the endoscope within the patient in the endoscope's coordinate system, capturing in an image fiducial markers attached to the endoscope by an external optical tracker, transforming the captured fiducial markers from the endoscope's coordinate system to the optical tracker's coordinate system, projecting a virtual image of the endoscope on a model of the patient's organ, and projecting or displaying the combined image.

A method for adjusting the operation of a surgical suturing instrument using machine learning in a surgical suite is disclosed. The method comprises gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical suturing instrument comprising a suturing needle configured to be mechanically advanced through a suturing stroke, analyzing the gathered data to determine an appropriate operational adjustment of the surgical suturing instrument, and adjusting the operation of the surgical suturing instrument to improve the operation of the surgical suturing instrument.

It is known in the art to use an apparatus to enhance the visual appearance of the veins and arteries in a patient to facilitate insertion of needles into those veins and arteries. This application discloses a number of inventions that add additional data collection and presentation capabilities to a handheld vein enhancement apparatus and a set of processes for the collection of blood and the delivery of IV medicines that use the handheld device to mediate the process.

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.

A laser based vascular illumination system utilizing a FPGA for detecting vascular positions, processing an image of such vasculature positions, and projecting the image thereof onto the body of a patient.

Systems and methods for a pathology review station are disclosed. The pathology review station may assist pathologists in analyzing, slicing; or sampling specimens by, in part, projecting an image onto a specimen. The process of projecting an image onto a specimen may include identification of the specimen based on characteristics of the specimen, characteristics of a tray supporting the specimen, or user input. The identified specimen may then be matched with an image obtained by an imager received at the pathology review station. A projected image may then be compiled based on the obtained image; which may include the entire image or features associated with the image. The provided systems and methods may assist a pathologist in, at least, removal of embedded surgical markers and/or determining where to take samples from a specimen.

The present disclosure relates to a system and method for locating a target subject associated with an X-ray system. The X-ray system may include an X-ray source, a detection component, an arm, and a platform. The X-ray system may also include a first positioning component, a second positioning component, or a third positioning component. The first positioning component may be configured to determine a target point where a region of interest (ROI) of the target subject locates. The second positioning component may be configured to locate the target subject. The third positioning component may be configured to obtain location information of a target device associated with the target subject in real-time.

Surgical methods and devices that facilitate registration of arthroscopic video to preoperative models are disclosed. With this technology, a machine learning model is applied to diagnostic video data captured via an arthroscope to identify an anatomical structure. An anatomical structure in a three-dimensional (3D) anatomical model is registered to the anatomical structure represented in the diagnostic video data. The 3D anatomical model is generated from preoperative image data. The anatomical structure is then tracked intraoperatively based on the registration and without requiring fixation of fiducial markers to the patient anatomy. A simulated projected view of the registered anatomical structure is generated from the 3D anatomical model based on a determined orientation of the arthroscope during capture of intraoperative video data. The simulated projected view is scaled and oriented based on one or more landmark features of the anatomical structure extracted from the intraoperative video data.