A tele-health apparatus includes a telephone having a microphone, an auscultation piece to acquire sounds, and a solid medium acoustically coupling the auscultation piece to the microphone. The auscultation piece is part of a stethoscope, and the solid medium is a windpipe of the stethoscope. The tele-health apparatus also includes an otoscope operable to be disposed in front of a camera of the telephone. A clip holds the stethoscope and the otoscope, and is fixed to the phone. Software modules installed in the telephone enable the tele-health apparatus to engage a user in a two-way audio and/or video consultation with a physician at a remote device in real-time.

A thermoacoustic imaging system and method for monitoring tissue temperature within a region of interest, which has an object of interest and a reference that are separated by at least one boundary. The system and method include a thermoacoustic imaging system with an adjustable radio frequency (RF) applicator configured to emit RF energy pulses into the tissue region of interest and heat tissue therein, an acoustic receiver configured to receive bipolar acoustic signals generated in response to heating of tissue in the region of interest, and one or more processors that process at least one received bipolar acoustic signal 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 one boundary using the peak-to-peak amplitude of the at least one bipolar acoustic signal.

A multi-view mammogram image analysis method, multi-view mammogram image analysis system and non-transitory computer-readable medium are provided in this disclosure. The multi-view mammogram image analysis method includes the following operations: inputting a plurality of mammogram images; utilizing a symptom identification model to determine whether the mammogram images have an abnormal state, and generating a plurality of heat maps corresponding to the mammogram images; utilizing a false positive filtering model to determine whether the heat maps have a false positive feature, and generating an abnormal probability corresponding to the heat maps; and utilizing a first threshold to determine the abnormal probability, if the abnormal probability is greater than the first threshold, detecting and outputting a lesion position corresponding to the heat maps.

Dynamic contrast enhanced MRI data and dynamic susceptibility contrast MRI data for a volume of the patient's body including a tumor are used in order to identify the risk of lymph node metastasis. A volume of interest enclosing the tumor is identified and the MRI data for the volume of interest is processed in order to identify one or more parameters relating to the transverse relaxation rate and/or to dynamic changes in the transverse relaxation rate. A comparison is made to previously obtained similar parameters for other patients having similar tumors that are either known to exhibit lymph node metastasis or are known not to exhibit lymph node metastasis in order to determine if the MRI data indicates that the patient has a tumor at greater risk of exhibiting lymph node metastasis or a tumor with a lesser risk of exhibiting lymph node metastasis.

A mobile hyperspectral camera system is described. The mobile hyperspectral camera system comprises a mobile host device comprising a processor and a display: a plurality of cameras, coupled to the processor, configured to capture images in distinct spectral bands; and a hyperspectral flash array, coupled to the processor, configured to provide illumination to the distinct spectral bands. A method of implementing a mobile hyperspectral camera system is also described.

A device for analyzing and treating tonal imperfections on human skin. The device, or apparatus has an applicator comprising a head and one or more nozzles, preferably the nozzles are arranged in an array. The apparatus further has a reservoir comprising a skin treatment composition, a sensor, and a CPU. The sensor takes an image of at least 10 μm.sup.2 of skin. The CPU analyzes the image to calculate a localized L value of individual pixels or group of pixels. The CPU then compares the local L value to a background L value to identify one or more skin deviations, and wherein the sensor is in wireless communication with the CPU, and wherein the CPU is adjacent the sensor or is remotely located. Further, the sensor may be enclosed within an apparatus handle and the CPU is either within the handle or external to the handle. In another embodiment of this invention, there are two or more CPUs and the sensor can be in wireless communication with none, one or more than one CPU.

A device for analyzing and treating tonal imperfections on human skin. The device, or apparatus has an applicator comprising a head and one or more nozzles, preferably the nozzles are arranged in an array. The apparatus further has a reservoir comprising a skin treatment composition, a sensor, and a CPU. The sensor takes an image of at least 10 μm.sup.2 of skin. The CPU analyzes the image to calculate a localized L value of individual pixels or group of pixels. The CPU then compares the local L value to a background L value to identify one or more skin deviations, and wherein the sensor is in wireless communication with the CPU, and wherein the CPU is adjacent the sensor or is remotely located. Further, the sensor may be enclosed within an apparatus handle and the CPU is either within the handle or external to the handle. In another embodiment of this invention, there are two or more CPUs and the sensor can be in wireless communication with none, one or more than one CPU.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Dimensions of a surface feature are determined by capturing an image of the surface feature and determining a scale associated with the image. Structured light may be projected onto the surface, such that the position of structured light in the captured image allows determination of scale. A non-planar surface may be unwrapped. The surface may alternatively be projected into a plane to correct for the scene being tilted with respect to the camera axis. A border of the surface feature may be input manually by a user. An apparatus and system for implementing the method are also disclosed.

A computer-aided diagnostic (CAD) apparatus and a CAD method based on the diagnostic intention of a user are provided. The CAD apparatus includes a region of interest (ROI) detector configured to detect an ROI from an image input from a probe, and a probe motion determiner configured to determine a motion of the probe in response to the ROI detector detecting the ROI. The CAD apparatus further includes a diagnostic intention determiner configured to determine a diagnostic intention of a user based on the determined motion of the probe, and a diagnostic intention processor configured to perform a diagnostic procedure based on the determined diagnostic intention of the user.