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.

A method of evaluating a joint includes obtaining test data indicative of movement of the joint during a test of the joint, generating visualization data for a three-dimensional representation of the joint to be rendered via a display, generating plane data for a representation of a plane to be rendered via the display with the three-dimensional representation of the joint, the plane having a position and an orientation fixed relative to a bone of the joint, adjusting the visualization data to animate the three-dimensional representation to depict, via the display, the movement of the joint during the test, and adjusting the plane data to update the position and the orientation of the plane in accordance with the movement of the joint.

Offset illumination using multiple emitters in a fluorescence imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The emitter comprises a first emitter and a second emitter for emitting different wavelengths of electromagnetic radiation. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises a laser mapping pattern.

A mobile-platform imaging device uses compression of the target region to generate an image of an object. A tactile sensor has an optical waveguide with a flexible, transparent first layer. Light is directed into the waveguide. Light is scattered out of the first layer when the first layer is deformed. The first layer is deformed by the tactile sensor being pressed against the object. A force sensor detects a force pressing the tactile sensor against the object and outputs corresponding force information. A first communication unit receives the force information from the force sensor. A receptacle holds a mobile device with a second communication unit and an imager that can generate image information using light scattered out of the first layer. The first communication unit communicates with the second communication unit and the mobile device communicates with an external network.

A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

Disclosed are methods and digital tools for deriving tooth condition information for a patient's teeth, for populating a digital dental chart with derived tooth condition information, and for generating an electronic data record containing such information.

The present invention is a Miniature Vein Enhancer, for use in imaging the subcutaneous veins of a target area of a patient by a practitioner. The miniature vein enhancer includes a Miniature Projection Head that is secured to a tourniquet, where the tourniquet may be mounted to the bicep of a patient. The Miniature Projection Head includes a housing, and apparatus that images subcutaneous veins of the target area, and projects the image(s) of the veins onto the target area to overlie the subcutaneous veins, which aids the practitioner in pinpointing a vein location for a venipuncture procedure such as an intravenous drip, blood test, and the like.

Embodiments herein relate to devices and methods for deep tissue optical sensing. In an embodiment, an optical monitoring device is included having a first optical emitter, where the first optical emitter is configured to emit light at a first wavelength. The optical monitoring device includes a first optical detector, where the first optical detector is configured to selectively detect incident light with respect to its angle of incidence on the optical monitoring device. The first optical emitter is configured so that the emitted light from the optical emitter propagates through a tissue at a depth of at least 1 cm into the tissue as measured from a surface of the optical monitoring device. The optical monitoring device is configured to determine a physiological parameter of the tissue using incident light detected by the first optical detector. Other embodiments are also included herein.

Offset illumination using multiple emitters in a fluorescence imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The emitter comprises a first emitter and a second emitter for emitting different wavelengths of electromagnetic radiation. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of a hyperspectral emission, a fluorescence emission, and/or a laser mapping pattern.

A system and method for monitoring and auditing the patient's health care compliances in order to detect bedside patient's information such as bed sores, oral health care, insertion of invasive devices, patient positions etc. The system employs visual sensors such as lidars, IR cameras etc. for observing the patients. The system also uses machine learning algorithms that use the bedside patient information into pre-trained models so as to monitor, trace and diagnose patient histories by the caretakers.