An objective of the present invention is to provide a disease prediction system for assessing, by means of a simple method, the possibility that an animal may contract a disease in the future, and the like. The disease prediction system is provided with a reception means for receiving an input of a facial image of an animal excluding a human and an assessment means for outputting, by using a learned model, a prediction regarding contraction of a disease by the animal as inferred from the facial image of the animal that has been input to the reception means, the disease prediction system being characterized in that the learned model is a learned model that performs learning by using facial images of animals excluding humans and the presence or absence of a contracted disease within a predetermined period from the time of imaging the animals as training data, inputs a facial image of an animal, and outputs a prediction regarding whether the animal may contract a disease.

The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.

The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.

Fractionation optimization receives inputs including a radiation dose distribution to be delivered by fractionated radiation therapy, maximum and minimum number of fractions, and Biologically Effective Dose (BED) constraints for one or more organs-at-risk. A two-dimensional (2D) graph is displayed of a parameter X equal to or proportional to (I) versus a parameter Y equal to or proportional to (II) where N is the number of fractions, D is a total radiation dose to be delivered by the fractionated radiation therapy, and d.sub.t is the fractional dose in fraction t. A constraint BED lines are displayed on the 2D graph depicting each BED constraint. A marker is displayed at a location on the 2D graph defined by a current fractionation and a current total dose. A new value for the current fractionation and/or the current total dose is received, and the marker is updated accordingly. Alternatively a second marker is displayed showing the new fractionation scheme along with its comparative advantages and disadvantages with respect to the current fractionation.

Fractionation optimization receives inputs including a radiation dose distribution to be delivered by fractionated radiation therapy, maximum and minimum number of fractions, and Biologically Effective Dose (BED) constraints for one or more organs-at-risk. A two-dimensional (2D) graph is displayed of a parameter X equal to or proportional to (I) versus a parameter Y equal to or proportional to (II) where N is the number of fractions, D is a total radiation dose to be delivered by the fractionated radiation therapy, and d.sub.t is the fractional dose in fraction t. A constraint BED lines are displayed on the 2D graph depicting each BED constraint. A marker is displayed at a location on the 2D graph defined by a current fractionation and a current total dose. A new value for the current fractionation and/or the current total dose is received, and the marker is updated accordingly. Alternatively a second marker is displayed showing the new fractionation scheme along with its comparative advantages and disadvantages with respect to the current fractionation.

A document creation support apparatus includes at least one processor, in which the processor is configured to derive properties for each of a plurality of predetermined property items in a structure of interest included in an image, generate a plurality of sentences describing the properties specified for at least one of the plurality of property items, and display each of the plurality of sentences, and display a described item, which is a property item of a property that is described in at least one of the plurality of sentences among the plurality of property items, on a display screen in an identifiable manner.

A surgical image capture and display system includes a handheld image capture and pointing device and a display assembly. An image is captured by an image sensor of the handheld device and displayed on the display assembly. The image sensor detects light emitted by one or more beacons of the display assembly. The system determines, based on the light emitted by the one or more beacons, a position or orientation of the handheld device relative to the display assembly. The system updates display of a graphical user interface comprising the image on the display assembly in accordance with the determined position or orientation of the handheld device.

The present disclosure is related to visual annotations on medical images. A system may include a processor configured to process input data and identify a relationship amongst received input data in a data set. The system may also include an aggregator coupled to the processor and configured to receive processed data from the processor and aggregate data within the data set while maintaining one or more data relationships within the data set. Further, the system may include an annotation service module coupled to the aggregator and configured to generate at least one annotation that is maintained across at least a portion of the data within the data set.

A photoelectric conversion device including a pixel equipped with a photoelectric conversion circuit configured to output a signal in response to incidence of a photon includes a first measurement circuit, a second measurement circuit, a selection circuit, and a selection circuit. The first measurement circuit is configured to measure the signal output from the pixel. The second measurement circuit is configured to measure time from when the first measurement circuit starts measuring the signal until a measured value measured by the first measurement circuit reaches a first threshold value. The selection circuit is configured to switch a first measurement circuit to be connected to the second measurement circuit among a plurality of first measurement circuit. The control circuit is configured to control timing of switching a connection of the second measurement circuit by the selection circuit.

A photoelectric conversion device including a pixel equipped with a photoelectric conversion circuit configured to output a signal in response to incidence of a photon includes a first measurement circuit, a second measurement circuit, a selection circuit, and a selection circuit. The first measurement circuit is configured to measure the signal output from the pixel. The second measurement circuit is configured to measure time from when the first measurement circuit starts measuring the signal until a measured value measured by the first measurement circuit reaches a first threshold value. The selection circuit is configured to switch a first measurement circuit to be connected to the second measurement circuit among a plurality of first measurement circuit. The control circuit is configured to control timing of switching a connection of the second measurement circuit by the selection circuit.