In accordance with one embodiment, an automated probe system includes a probe configured to be reversibly inserted into a live body part, a robotic arm attached to the probe and configured to manipulate the probe, a first sensor configured to track movement of the probe during an insertion and a reinsertion of the probe in the live body part, a second sensor configured to track movement of the live body part, and a controller configured to calculate an insertion path of the probe in the live body part based on the tracked movement of the probe during the insertion, and calculate a reinsertion path of the probe based on the calculated insertion path while compensating for the tracked movement of the live body part, and send control commands to the robotic arm to reinsert the probe in the live body part according to the calculated reinsertion path.

Disclosed is an image processing device for estimating a position of an endoscope in a model of the human airways using a first machine learning data architecture trained to determine a set of anatomic reference positions, said image processing device comprising a processing unit operationally connectable to an image capturing device of the endoscope, wherein the processing unit is configured to obtain a stream of recorded images; continuously analyse the recorded images of the stream of recorded images using the first machine learning data architecture to determine if an anatomic reference position of a subset of anatomic reference positions, from the set of anatomic reference positions, has been reached; and where it is determined that the anatomic reference position has been reached, update the endoscope position based on the anatomic reference position, and an endoscope system comprising an endoscope and an image processing device, a display unit comprising an image processing device, and a computer program product.

Embodiments of the invention provide a method and system that allows parameters of a desired target image to be determined from hyperspectral imagery of scene. The parameters may be representative of various aspects of the scene being imaged, particularly representative of physical properties of the scene. For example, in some medical imaging contexts, the property being imaged may be blood perfusion or oxygenation saturation level information per pixel. In one embodiment the parameters are obtained by collecting lower temporal and spatial resolution hyperspectral imagery, and then building a virtual hypercube of the information having a higher spatial resolution using a spatiospectral aware demosaicking process, the virtual hypercube then being used for estimation of the desired parameters at the higher spatial resolution. Alternatively, in another embodiment, instead of building the virtual hypercube and then performing the estimation, a joint demosaicking and parameter estimation operation is performed to obtain the parameters. Various white level and spectral calibration operations may also be performed to improve the results obtained. While establishing functional and technical requirements of an intraoperative system for surgery, we present iHSI system embodiments that allows for real-time wide-field HSI and responsive surgical guidance in a highly constrained operating theatre. Two exemplar embodiments exploiting state-of-the-art industrial HSI cameras, respectively using linescan and snapshot imaging technology, were investigated by performing assessments against established design criteria and ex vivo tissue experiments. We further report the use of one real-time iHSI embodiment during an ethically-approved in-patient clinical feasibility case study as part of a spinal fusion surgery therefore successfully validating our assumptions that our invention can be seamlessly integrated into the operating theatre without interrupting the surgical workflow.

An endoscope system includes a light source that emits lights with first to n-th wavelengths, a lens that makes the lights with the first to n-th wavelengths parallel lights, a diffractive optical element (DOE) that converges components of the lights with the first to n-th wavelengths, the components being included in the parallel lights, into first to n-th linear lights at mutually different positions, a slit that projects, onto a subject, first to n-th pattern lights based on the first to n-th linear lights, an imager that captures, as one-frame image, an image of the subject onto which the first to n-th pattern lights are projected, and a processor being configured to calculate a distance to the subject or a shape of the subject based on the image captured by the imager.

A processing system includes a processor with hardware. The processor is configured to perform processing of acquiring a detection target image captured by an endoscope apparatus, controlling the endoscope apparatus based on control information, detecting a region of interest included in the detection target image based on the detection target image for calculating estimated probability information representing a probability of the detected region of interest, identifying the control information for improving the estimated probability information related to the region of interest within the detection target image based on the detection target image, and controlling the endoscope apparatus based on the identified control information.

A detection system is adapted to perform methods for detecting defects in medical devices, during a reprocessing procedure, for example. The detection system may utilize computer-implemented instructions to determine the presence and nature of the defects, whether biological or mechanical, for example. The computer-implemented instructions may be adapted to include artificial intelligence and/or machine learning algorithms, and to process image data from digital inspection camera systems or proprietary camera systems. Upon identification of a defect present in a medical device, the detection system may notify users of the presence of the defect, as well as provide further recommended action to be taken regarding the medical device, if desirable, reducing potential instrument failure, patient injury or death. The disclosed detection system may be integrated into existing disinfection and sterilization systems currently used in medical facilities, such as hospitals and surgery centers, for example.

Provided is a capsule endoscope. The capsule endoscope includes: an imaging device configured to perform imaging on a digestive tract in vivo to generate an image; an artificial neural network configured to determine whether there is a lesion area in the image; and a transmitter configured to transmit the image based on a determination result of the artificial neural network.

A computer assisted surgery system comprising: a computerised surgical apparatus; and a control apparatus; wherein the control apparatus comprises circuitry configured to: receive information indicating a first region of a surgical scene from which information is obtained by the computerised surgical apparatus to make a decision; receive information indicating a second region of the surgical scene from which information is obtained by a medical professional to make a decision; determine if there is a discrepancy between the first and second regions of the surgical scene; and if there is a discrepancy between the first and second regions of the surgical scene: perform a predetermined process based on the discrepancy.

An endoscope system sequentially acquires a plurality of endoscopic images by continuously imaging an observation target. A recognition processing unit detects, from the acquired endoscopic images, regions including a lesion portion as regions-of-interest. A recognition result correction unit corrects a position of the region-of-interest of the specific image by using a position of the region-of-interest of a previous image acquired before the specific image and a position of the region-of-interest of a subsequent image acquired after the specific image.

A removable and replaceable sheath may be coupled to a medical instrument used during a procedure, and may enable one or more functional features of the medical instrument while maintaining a sterile barrier between the instrument itself and the treatment site. The sheath may be replaced prior to a subsequent use, and sterilization of the medical instrument is not required due to the sterile barrier. Sheaths may include an embedded memory that stores procedure configurations and procedure results, longitudinal channels for delivering power or irrigation, optical elements for providing procedure specific endoscopic views, and other features. One sheath may be fitted to an endoscope for imaging and tissue ablation. Another sheath includes a balloon usable during sinuplasty procedures. Yet another sheath may be fitted to a sonic ablation instrument to provide improved transmission of sonic power to tissue.