There is provided a method, comprising: feeding 2D image(s) of an internal surface of a colon captured by an endoscopic camera, into a machine learning model, wherein the 2D image(s) excludes a depiction of an external measurement tool, wherein the machine learning model is trained on records, each including 2D images of the internal surface of the colon of a respective subject labelled with ground truth labels of respective bounding boxes enclosing respective polyps and at least one of an indication of size and a type of the respective polyp indicating likelihood of developing maligiancy, obtaining a bounding box for a polyp and at least one of an indication of size and type of the polyp, and generating instructions for presenting within the GUI, an overlay of the bounding box over the polyp and the at least one of the indication of size and type of the polyp.

There is provided a method, comprising: feeding 2D image(s) of an internal surface of a colon captured by an endoscopic camera, into a machine learning model, wherein the 2D image(s) excludes a depiction of an external measurement tool, wherein the machine learning model is trained on records, each including 2D images of the internal surface of the colon of a respective subject labelled with ground truth labels of respective bounding boxes enclosing respective polyps and at least one of an indication of size and a type of the respective polyp indicating likelihood of developing maligiancy, obtaining a bounding box for a polyp and at least one of an indication of size and type of the polyp, and generating instructions for presenting within the GUI, an overlay of the bounding box over the polyp and the at least one of the indication of size and type of the polyp.

Disclosed herein is a hair health assessment, treatment, and styling diagnosis and recommendation method and system. The techniques use science and technology in order to aid users in achieving optimal health and beauty of their hair. The present disclosure allows a user to provide hair samples, such as digital images of hair, that can be analyzed using Machine Learning (ML) and Artificial Intelligence (AI) technology to provide recommendations including hair health assessments, hair care regimes, hair care products, and hair care services in an accurate, efficient, and automated manner. The present disclosure may employ a digital image capture device, either stand alone device or an embedded camera of a mobile device or a microscopic attachment, in order to capture digital images of their hair at a smartphone camera magnification level from a selfie image or microscopic-level of magnification, as a hair sample to be analyzed by the system.

Disclosed herein is a hair health assessment, treatment, and styling diagnosis and recommendation method and system. The techniques use science and technology in order to aid users in achieving optimal health and beauty of their hair. The present disclosure allows a user to provide hair samples, such as digital images of hair, that can be analyzed using Machine Learning (ML) and Artificial Intelligence (AI) technology to provide recommendations including hair health assessments, hair care regimes, hair care products, and hair care services in an accurate, efficient, and automated manner. The present disclosure may employ a digital image capture device, either stand alone device or an embedded camera of a mobile device or a microscopic attachment, in order to capture digital images of their hair at a smartphone camera magnification level from a selfie image or microscopic-level of magnification, as a hair sample to be analyzed by the system.

An image processing apparatus selects one or a plurality of examinations to which a medical image belongs, determines image processing candidate examinations based on the selected one or plurality of examinations, displays medical images belonging to the determined image processing candidate examinations on a display unit, and executes image processing using, of the displayed medical images, a plurality of medical images selected by a user, wherein, when the one examination is selected, the selected one examination and one or a plurality of examinations obtained by a search based on the selected one examination are determined as the image processing candidate examinations, and when the plurality of examinations are selected, in the determining, the selected plurality of examinations are determined as the image processing candidate examinations.

A method, a controller, and a surgical hybrid navigation system for transferring a registration of three dimensional image data of a surgical object from a first to a second surgical navigation system are described. A first tracker that is detectable by a first detector of the first surgical navigation system is arranged in a fixed spatial relationship with the surgical object and a second tracker that is detectable by a second detector of the second surgical navigation system is arranged in a fixed spatial relationship with the surgical object. The method includes registering the three dimensional image data of the surgical object in a first coordinate system of the first surgical navigation system and determining a first position and orientation of the first tracker in the first coordinate system and a second position and orientation of the second tracker in a second coordinate system of the second surgical navigation system.

A method, a controller, and a surgical hybrid navigation system for transferring a registration of three dimensional image data of a surgical object from a first to a second surgical navigation system are described. A first tracker that is detectable by a first detector of the first surgical navigation system is arranged in a fixed spatial relationship with the surgical object and a second tracker that is detectable by a second detector of the second surgical navigation system is arranged in a fixed spatial relationship with the surgical object. The method includes registering the three dimensional image data of the surgical object in a first coordinate system of the first surgical navigation system and determining a first position and orientation of the first tracker in the first coordinate system and a second position and orientation of the second tracker in a second coordinate system of the second surgical navigation system.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

A medical imaging system comprises an operator terminal configured to obtain at least one image of a patient generated by a medical imaging device, receive one or more notes pertaining to the at least one image from an operator of the medical imaging device, store a clean set of images including the at least one image in at least one server, annotate the at least one image with the one or more notes to generate a set of annotated images; tag the set of annotated images as non-persistent, and store the set of annotated images in the at least one server; wherein the at least one server is configured to provide to a physician terminal both the clean set of images and the annotated set of images stored for the patient and automatically delete the one or more images tagged as non-persistent after review thereof by the physician.