A fat mass derivation device includes at least one processor, in which the processor derives a fat mass distribution of a subject from a first radiation image and a second radiation image acquired by imaging the subject with radiation having different energy distributions, and derives a visceral fat mass distribution of the subject based on a shape of the fat mass distribution in a cross section orthogonal to a body axis of the subject.

The disclosure relates to a method, a system, and a computer-readable medium for prognosis management based on medical information of a patient. The method may include receiving the medical information including at least a medical image of the patient reflecting a morphology of an object associated with the patient at a first time, The method may further include predicting a progression condition of the object at a second time based on the medical information of the first time, where the progression condition is indicative of a prognosis risk, and the second time is after the first time. The method may also include generating a prognosis image at the second time reflecting the morphology of the object at the second time based on the medical information of the first time. The method may additionally include providing the progression condition of the object at the second time and the prognosis image at the second time to an information management system for presentation to a user.

An apparatus for estimating body temperature of an object is provided. The apparatus for estimating body temperature includes: a sensor configured to obtain spectra through a plurality of light paths of an object; and a processor configured to obtain a temperature slope between temperatures corresponding to the plurality of light paths based on the spectra of the plurality of light paths and a reference spectrum measured at a reference temperature, and estimate the body temperature of the object based on the temperature slope.

An electronic device includes: a display panel configured to display an image; an input sensor disposed on the display panel and including first electrodes and second electrodes electrically insulated from the first electrodes; and a sensor controller electrically connected to the input sensor, the sensor controller configured to drive the input sensor in a first driving mode or a second driving mode, wherein: in the first driving mode, the sensor controller is configured to measure a variation of capacitance between the first electrodes and the second electrodes to generate location information of an input, and in the second driving mode, the sensor controller is configured to use a first portion among the first electrodes as a transmission sensing electrode and to use a second portion among the first electrodes as a reception sensing electrode to analyze a body composition.

A body fat combustion amount measurement device includes: a sample gas passage through which an exhaled gas flows; a sample gas chamber having an inlet through which a part of the exhaled gas flowing through the sample gas passage is introduced and an outlet through which the exhaled gas is discharged, the sample gas chamber configured to define an internal space through which the exhaled gas flows; a photoionization detector disposed in the internal space of the sample gas chamber and configured to generate an electrical signal corresponding to an amount of acetone contained in the exhaled gas existing inside the sample gas chamber; and a heater configured to increase a temperature of the internal space of the sample gas chamber to prevent moisture contained in the exhaled gas from being condensed in the sample gas chamber.

To provide a technology that can easily acquire body weight information of a patient. A processing part that deduces the body weight of a patient based on a camera image of the patient lying on a table of a CT device, including a generating part that generates an input image based on the camera image, and a deducing part that deduces the body weight of the patient when the input image is input into a learned model. The learned model is generated by a neural network executing learning using a plurality of learning images C1 to Cn generated based on a plurality of camera images, and a plurality of correct answer data G1 to Gn corresponding to the plurality of learning images C1 to Cn, where each of the plurality of correct answer data G1 to Gn represents a body weight of a human included in a corresponding learning image.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

A system utilizing thermoacoustic imaging to estimate tissue temperature within a region of interest that includes an object of interest and a reference which are separated by at least one boundary located at least at two boundary locations. The system uses a thermoacoustic imaging system that includes an adjustable radio frequency (RF) applicator configured to emit RF energy pulses into the tissue region of interest and heat tissue therein and an acoustic receiver configured to receive multi-polar acoustic signals generated in response to heating of tissue in the region of interest; and one or more processors that are able to: process received multi-polar acoustic generated in the region of interest in response to the RF energy pulses to determine a peak-to-peak amplitude thereof; and calculate a temperature at the at least two boundary locations using the peak-to-peak amplitudes of the multi-polar acoustic signals and a distance between the boundary locations.

There is provided a system (100) and method for determining a water or lipid level of skin. The system (100) comprises at least two electrodes (108) suitable for contacting skin, and a signal generator (106) configured to generate an electrical signal at a frequency across the at least two electrodes (108). The system (100) is configured to measure a conductivity between the at least two electrodes (108). The system (100) is further configured to determine a water or lipid level of skin based on the measured conductivity and the frequency of the electrical signal.

An apparatus includes a body and an actuator is coupled to the body. A needle is mounted to the actuator. The needle comprises a slot along a length to a tip. A sensor is coupled to a plurality of wires. A base is configured to be moveable by the actuator and includes a cutout, a circuit board having a microprocessor, and a plurality of contacts. Each contact is coupled to a wire of the plurality of wires. A power source is connected to the circuit board and to the base. A bracket is coupled to the bottom surface of the body and configured to receive the base. A patch is coupled to the bracket and has an adhesive. A needle is configured to be moveable by the actuator. The plurality of wires extend from the circuit board of the base, through the needle and out of the slot.