Methods and systems are provided for profile-based selection of imaging parameters for a clinical context. In one embodiment, a method comprises selecting a profile based on an indication of clinical context for a scan of a patient, selecting one or more sub-profiles based on the profile, selecting imaging settings for the scan based on the profile and the one or more sub-profiles, and performing the scan according to the selected imaging settings. In this way, a scan prescription may be defined more efficiently and personally for a patient while improving quality assurance and managing an x-ray radiation dose of the patient.

Systems and methods are provided for improving MRI data acquisition efficiency while providing more detailed information with high resolution and isotropic resolution without gaps. Improved data acquisition efficiency may be achieved by implementing a machine learning algorithm with a hardware processor and a memory to estimate imperfections in fast imaging sequences, such as a multi-shot echo planar imaging (MS-EPI) sequence. These imperfections, such as patient motion, physiological noise, and phase variations, may be difficult to model or otherwise estimate using standard physics-based reconstructions.

A processing device may receive a plurality of intraoral scans of the patient that were generated by an intraoral scanner, determine a three-dimensional surface of at least a portion of one or more dental arch of the patient using the plurality of intraoral scans, automatically determine whether a restorative dental object is represented in at least one of the three-dimensional surface or one or more intraoral scans of the plurality of intraoral scans, and automatically generate a prescription for treating the one or more teeth based at least in part on at least one of a) a presence or absence of a restorative dental object in at least one of the three-dimensional surface or the one or more intraoral scans or b) a location of the restorative dental object in the one or more dental arch of the patient.

A processing device receives a plurality of intraoral scans of a dental arch. The processing device determines, from the plurality of intraoral scans, a first set of intraoral scans that depict a restorative object and a second set of intraoral scans that fail to depict any restorative object. The processing device generates a multi-resolution three-dimensional model of the dental arch, wherein a first portion of the multi-resolution three-dimensional model is generated from the first set of intraoral scans, has a first resolution and represents the restorative object, and wherein a second portion of the multi-resolution three-dimensional model is generated from the second set of intraoral scans, has a second resolution and represents a remainder of the dental arch, wherein the first resolution is greater than the second resolution.

The invention provides a patient monitoring system for monitoring a patient in a bed. A video camera is used for capturing video images of the patient. Video analysis is used to determine and track the position of body parts of the patient including the hands. This analysis is enhanced by using sensors which detect interaction by the patient with pieces of equipment in the vicinity of the bed.

In the field of obesity related disease, identification of patients with nonalcoholic steatohepatitis (NASH) would be useful to counsel them more intensively on diet and lifestyle changes and propose new pharmacological treatments. As a consequence, the inventors worked on a method for post-processing images of a region of interest of the liver for reconstructing a map of the internal magnetic susceptibility by using a Bayesian regularization approach to inverse the internal magnetic field. Such method can be implemented on computer and provides better results than other known methods for obesity related disease. This method may be applied for predicting that a subject is at risk of suffering from such disease, diagnosing a disease, identifying a therapeutic or a biomarker and screening compounds useful as a medicine.

A system including a light source that, in operation, projects dots onto a target, the dots being formed by first light; a first photodetector that, in operation, detects second light resulting from the projection of the dots onto the target; and a circuit. The circuit, in operation, determines whether the target is a living body or not based on the second light, performs a biometric authentication of the target, and authenticates an individual, in response to a determination that the target is a living body and a result of the biometric authentication.

For the purpose of obtaining information about a person's sleep and wake states, an arrangement (100) comprising a video camera (10) and a processing unit (20) is used. The video camera (10) serves for capturing a sequence of video frames during a time period, and the processing unit (20) is configured to process video frames provided by the video camera (10) and to provide output representative of the person's sleep and wake states during the time period. In particular, the processing unit (20) is configured to execute an algorithm according to which (i) a motion value-time relation, (ii) sets of features relating to respective epochs in the motion value-time relation and (iii) classifiers of the respective epochs are determined, wherein the algorithm is further configured to apply an adaptive prior probability determined for the particular person in dependence of the motion values of the respective epochs to the classifiers.

There is provided herein a system and a method for an insertion device positioning guidance system comprising: an electromagnetic field generator configured to generate an electromagnetic field covering a treatment area; a plate sensor configured to be positioned within the treatment area in a location defining an orientation of a subject; a reference sensor configured to be positioned, within the treatment area, on the subject's torso, the reference sensor is configured to define a reference coordinate system representing the position and orientation of the subject's torso relative to said field generator; a registration sensor configured to mark at least a first and a second anatomic locations relative to the reference coordinate system; and a processor configured to operate said field generator, read signals obtained from said the plate sensor, said reference sensor and said registration sensor, calculate a position and orientation thereof relative to said field generator, generate a 3D anatomic map representing the torso of the subject and the first and second anatomic locations, said processor is further configured to facilitate visualization on the 3D anatomic map of a position, orientation and/or path of a tip sensor, located in a distal tip section of the insertion device, with respect to the first and second anatomic locations, independent of the subject's movement and independent of deviations in the position and/or orientation of said field generator, thus determination of a successful medical procedure is facilitated.

Systems and methods for performing quantitative histopathology analysis for determining tissue potency are disclosed. According to some embodiments, a method training a tissue classifier is provided. According to the method, training the tissue classifier includes generating feature fingerprints of detected nuclei within slide images in a control library and clustering the slide images based on their corresponding feature fingerprints. According to some embodiments, a method for utilizing the trained tissue classifier is provided. According to the method, the trained tissue classifier determines whether tissue in an unknown slide image corresponds to slide images clustered during the training of the tissue classifier.