Systems and methods are described for generating three-dimensional (3D) image models of skin surfaces. An example method includes analyzing, by one or more processors, a plurality of images of a portion of skin of a user, the plurality of images captured by a camera having an imaging axis extending through one or more lenses configured to focus the portion of skin, wherein each image of the plurality of images is illuminated by a different subset of a plurality of LEDs configured to be positioned at a perimeter of the portion of skin. The example method may further include generating, by the one or more processors, a 3D image model defining a topographic representation of the portion of skin based on the plurality of images; and generating, by the one or more processors, a user-specific recommendation based on the 3D image model of the portion of skin.

An apparatus for estimating bio-information is disclosed. The apparatus may include: a pulse wave sensor configured to measure a pulse wave signal from an object; a force sensor configured to obtain a force signal by measuring an external force exerted onto the force sensor; and a processor configured to obtain a first input value, a second input value, and a third input value based on the pulse wave signal and the force signal, to extract a feature vector by inputting the first input value, the second input value, and the third input value into a first neural network model, and to obtain the bio-information by inputting the feature vector into a second neural network model.

A light output device for caring for a skin of a user using artificial intelligence includes a plurality of light sources configured to irradiate light, a memory configured to store a skin care model learned using a deep learning algorithm to infer a facial skin state of the user, a camera configured to capture an image of a face of the user, and a processor configured to acquire a skin state of each part of the face based on a first-type face image captured through the camera and the skin care model, and control light output of the plurality of light sources based on the acquired skin state.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for skin health monitoring including instructions that, when executed, cause the one or more processors to perform various operations. The operations include obtaining first scan data representing a first hyperspectral scan of a user's skin at a first time. The operations include obtaining second scan data representing one or more previous hyperspectral scans of the user's skin during a period of time prior the first time. The operations include determining, based on providing the first scan data and the second scan data as input features to a machine learning model, a likelihood that the user will develop a predicted skin condition in the future. The operations include providing, for display on a user computing device associated with the user, information about the predicted skin condition.

Provided herein are MD Codes, MD DYNA Codes, MD ASA, and Next Human system, and the methods of using them to diagnose and treat aesthetic conditions or disorders.

An apparatus for measuring a body temperature includes: a light source part configured to emit a light onto an object; a thermochromic part configured to change a spectrum of the light, which is reflected or scattered from the object and passes therethrough, according to a thermochromic property of the thermochromic part; a light receiver configured to detect the light having passed through the thermochromic part; and a processor configured to determine a body temperature of the object by using the spectrum of the detected light.

A method of determining regularity of a bio-signal is provided. The method of determining regularity of a bio-signal according may include acquiring a plurality of pulse waveforms of the bio-signal, acquiring a plurality of slope waveforms corresponding to the plurality of pulse waveforms, binarizing the plurality of slope waveforms, acquiring synchronization information of the plurality of pulse waveforms based on binarizing the plurality of pulse waveforms; acquiring a synchronization rate of a reference interval based on the synchronization information, and determining whether the bio-signal is regular or irregular based on the synchronization rate of the reference interval.

As an IV infiltration occurs and fluid leaks into surrounding tissues, several physiological changes are expected locally. The systems and methods described herein provide a scalable automated IV infiltration detection device to provide medical staff an early warning of a possible infiltration such that they can respond accordingly. The systems and methods capture the physiological state of the user at or around a peripheral catheter insertion site by incorporating one or more modalities of wearable sensing, processing the data collected from these wearable sensors, detecting the presence of extravascular fluid, and providing an indication to a medical professional.

Apparatuses and methods are disclosed for assessing the texture of skin using images thereof. In exemplary embodiments, a texture map of an area of skin is generated from a combination of a standard white light image, a parallel-polarized image, and a cross-polarized image of the area of skin. The texture map is then flattened to remove the underlying curvature of the skin. A texture roughness metric is then generated based on the flattened texture map. An image of the texture map and the metric can be displayed to provide visual and alphanumeric representations of the texture of skin, thereby facilitating the comparison of baseline and follow-up images of the skin, such as those taken before and after treatment.

A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.