The present invention relates to a system and method of skin detection of a human subject using a textile product. The textile product (10, 31, 43) is made from or comprising textile including near-infrared, NIR, absorbing pigments. It supports and/or partially covers the human subject while skin detection and/or detection/monitoring vital signs of the human subject is carried out. A increased contrast between the textile product and skin in the NIR wavelength range is thus achieved.

Systems and methods describe providing for the intelligent assessment and analysis of medical patient data. In one embodiment, the system receives medical imaging data of a patient, as well as connected implant data from an implant device implanted in the patient. A number of features are extracted via artificial intelligence (AI) algorithms from the medical imaging data and connected implant data. One or more reports are then generated based on the extracted features. In some embodiments, the systems and methods provide for indices, features, information, and/or metrics which have clinical value, and which enable a surgeon to support his or her decisions (related to, e.g., diagnosis, prognosis, monitoring, or any other suitable subject area).

The method for generating dental data suitable for manufacturing of a dental aligner, includes storing 3D scan data of a dental arch, determining (140) a curve in an occlusal plane, determining a positioning of the nodes of the teeth of the dental arch on the curve, determining an elevation of the nodes of the teeth of the dental arch, and determining an orientation of the teeth of the dental arch; said manufacturing data are calculated at least on the basis of the 3D scan data as well as the determined positioning, the determined elevation, and the determined orientation.

A wearable treatment and analysis module is provided. The module is positioned on or near a body surface region of interest. The module provides remote access to sensor data, treatment administration, and/or other health care regimens via a network connection with a user device and/or management system.

For patient model estimation from surface data in a medical system, a stream or sequence of depth camera captures are performed. The fitting of the patient model is divided between different times or parts of the sequence, using the streaming capture to distribute processing and account for patient movement. Less manual involvement may be needed due to the regular availability of image captures. Subsequent fitting may benefit from previous fitting.

Improved optical coherence tomography systems and methods to measure thickness of the retina are presented. The systems may be compact, handheld, provide in-home monitoring, allow the patient to measure himself or herself, and be robust enough to be dropped while still measuring the retina reliably.

A method and system are disclosed for outputting augmented reality information to a first user. In an embodiment, the method includes acquiring first information, including image information, depth information, coordinate information and combinations thereof, the first information relating to at least one of a medical device and a medical examination of a patient; creating the augmented reality information, relating to the medical device and/or the medical examination of the patient, based on the first information; and outputting the augmented reality information such that the augmented reality information is perceivable in a field of view of the first user.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

A system for treating dysfunctional SI joints that includes a multi-function bone structure prosthesis adapted to be delivered to and inserted into a dysfunctional SI joint via a posterior approach, the multi-function bone structure prosthesis, when disposed in a dysfunctional SI joint, being adapted to (i) stabilize the dysfunctional SI joint, (ii) induce proliferation, and/or growth and/or remodeling and/or regeneration of osseous tissue and, thereby, healing and arthrodesis of the dysfunctional SI joint, (iii) attenuate pain associated with the dysfunctional SI joint via neurostimulation, and (iv) monitor physiological and/or biomechanical parameters associated with the dysfunctional SI joint via one or more sensor systems.

Disclosed herein is a medical system (100, 300, 500). The execution of machine executable instructions (112) causes a computational system (104) to: receive (200) a baseline anatomical measurement (114) descriptive of a clinical magnetic resonance image of a subject (318); receive (202) scan metadata (116) descriptive of the clinical magnetic resonance image of the subject; send (204) scan parameters via a network connection (350) to a low-field magnetic resonance imaging system (301); receive (206) subsequent k-space data (122) from the low-field magnetic resonance imaging system via the network connection in response to sending the scan parameters; reconstruct (208) a subsequent magnetic resonance image (124) from the subsequent k-space data; determine (210) a subsequent anatomical measurement (128) in response to inputting the subsequent magnetic resonance image into the segmentation module; and provide (212) a warning signal (132) if the subsequent anatomical measurement varies from the baseline anatomical measurement by more than a predetermined amount.