Systems, devices, and methods for controlling cooperative surgical instruments with variable surgical site access trajectories are provided. Various aspects of the present disclosure provide for coordinated operation of surgical instruments accessing a common surgical site from different approach and/or separate body cavities to achieve a common surgical purpose. For example, various methods, devices, and systems disclosed herein can enable the coordinated treatment of tissue by disparate minimally invasive surgical systems that approach the tissue from varying anatomical spaces and must operate differently, but in concert with one another, to effect a desired surgical treatment.

Example methods and systems may be used intraoperatively to help surgeons perform accurate and replicable surgeries, such as knee arthroplasty surgeries. An example system combines real time measurement and tracking components with functionality to compile data collected by the hardware to register a bone of a patient, calculate an axis (e.g., mechanical axis) of the leg of the patient, assist a surgeon in placing cut guides, and verify a placement of an inserted prosthesis.

A method is provided herein that discloses receiving, by a processor, first image data comprising first bioluminescence data derived from an organism at a first time, receiving, by the processor, second image data comprising second bioluminescence data derived from an organism at a second time, comparing, by the processor, the first image data to the second image data, determining, by the processor, whether a peak light output event has occurred based on the comparison, and outputting, by the processor and to a display device, an indication that the peak light output event has occurred.

A method for functional brain mapping using high gamma modulation obtained from stereoelectroencephalography (SEEG).

Systems and methods are provided for robust intensity ranges for automatic lesion volume measurement. Imaging data obtained during medical imaging examination of a patient may be processed, with the imaging data corresponding to a particular medical imaging technique. One or more parameters pertinent to identifying particular features in at least one organ or body structure may be automatically determined. At least one medical image may be generated and displayed based on processing of the imaging data. The displaying may include identifying, based on the one or more parameters, one or more areas in the at least one organ or body structure and providing within displayed at least one medical image visual feedback relating to the identified one or more areas in the at least one organ or body structure.

An image processing device includes an input/output interface, and at least one processor. The at least one processor executes: detecting feature points in a facial image of an object included in an image taken from the input/output interface; acquiring first distance information between the feature points before a beauty treatment is performed; acquiring second distance information between the feature points at a second timing after the beauty treatment is performed; acquiring a difference value between the first distance information and the second distance information; and determining whether the beauty treatment is correctly given or has been given based on a different value between the acquired distance information.

A medical image analysis method includes: reading an original medical image; performing image classification and object detection on the original medical image to generate a first classification result and a plurality of object detection results by a plurality of complementary artificial intelligence (AI) models; performing object feature integration and transformation on a first detection result and a second detection result among the object detection results to generate a transformation result by a features integration and transformation module; and performing machine learning on the first classification result and the transformation result to generate an image interpretation result by a machine learning module and display the image interpretation result.

An object of the present disclosure is to provide an optical measurement method, an optical measurement apparatus, and a non-transitory computer readable medium capable of specifying the position of a pore. The optical measurement method includes first, second, and third steps. In the first step (ST11), first 3D tomographic image data is acquired from a skin by using optical coherence tomography. In the second step (ST12), a line shown in a second planar image (B2) at a second depth is removed from a first planar image (B1) at a first depth, the second depth being deeper than the first depth. In the third step (ST13), a position of a pore is specified from the first planar image (B1) from which the line has been removed.

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.

A method performed by a multispectral or hyperspectral meibomian gland imaging device is disclosed, which comprises directing light having visible and infrared spectra from a broadband illuminator toward an everted eyelid; forming images of the everted eyelid using an imaging system; recording the images using a detection system, which separates the images into spectral channels, which include at least one visible spectral channel and at least one infrared spectral channel; displaying the recorded images to adjust the position of the subject to optimize image quality; digitally processing the recorded images to obtain spatial and spectral information; evaluating the health of at least one meibomian gland of the eyelid by analyzing the information. Also disclosed is a multispectral or hyperspectral meibomian gland imaging device, comprising a broadband illuminator directing light that covers visible and infrared spectra; an imaging system, and a detection system.