Methods for generating aortic heart valve leaflets are disclosed wherein the aortic sinus surfaces (the inner surfaces of the sinuses of Valsalva) are used as a template to generate geometric representations of replacement aortic heart valve leaflets. As such, sinus-matched replacement leaflets can be sized and shaped according to the patient-specific geometry of the aortic root. Patient-specific aortic valve assemblies based on aortic root and sinus geometry are also described. Methods for estimating the coaptation area of a sinus-matched valve and assessing whether the valve is functionally competent for implantation are described.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

A system and method for automated localization, enumeration, and diagnoses of a tooth/condition. The system detects a condition for at least one defined localized and enumerated tooth structure within a cropped image from a full mouth series based on any one of a pixel-level prediction, wherein said condition is detected by at least one of detecting or segmenting a condition on at least one of the enumerated tooth structures within the cropped image by a 2-D R-CNN.

Disclosed herein are implementations of a method and apparatus for stroke self-detection. The method and apparatus may include a mobile platform for stroke detection. The method may include receiving sensor data. The method may include comparing the sensor data with a baseline test result to determine a test score. The method may include determining a passing test result based on a threshold. The method may include transmitting the results or an alert to one or more of an emergency contact, emergency medical services, a physician, or a telemedicine provider.

A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

A monitoring device for monitoring the fluid balance of an animal or human body. The device includes a body weight sensor for continuously or periodically weighing the body, a fluid delivery device for providing a controllable supply of fluid to the body, a urine output sensor for determining the urine output of the body, a processor. The processor is adapted for determining a total fluid outtake of the body and a fluid outtake due to perspiration and respiration by taking a signal provided by the body weight sensor and a signal provided by the urine output sensor into account, and providing a control signal to the fluid delivery device to regulate a volume, flow velocity or flow rate of the fluid delivered to the body, so as to maintain a predetermined fluid balance in the body.

Embodiments described herein are directed to non-invasive detection of peripheral arterial disease. For example, a measuring apparatus is used to measure a patient's calf circumference. The measuring apparatus has text feature(s) or indicator(s) printed thereupon that indicate the likelihood that the patient has peripheral arterial disease based on the measured calf circumference. The assessment may be further refined by using a software application that assesses the likelihood of the patient having peripheral arterial disease using at least the calf circumference measurement, along with other information/data. Based on the assessment, a healthcare practitioner may prescribe a walking program for the patient to follow. A software application may track compliance of the walking program and provide escalating reminders to the patient if the patient continues to fail to comply with the prescribed walking program.

A laser based vascular illumination system utilizing a FPGA for detecting vascular positions, processing an image of such vasculature positions, and projecting the image thereof onto the body of a patient.

Methods for treating bestrophinopathies are provided herein. The method includes, administering to an eye of the subject a dose of a recombinant adeno-associated virus (rAAV) vector comprising a nucleic acid sequence encoding a human BEST1 protein, wherein the subject has at least one mutant BEST1 allele. Also provided are methods for evaluating treatments for retinal degeneration.

An ultrasonic diagnostic apparatus according to an embodiment includes an image obtaining unit, a contour position obtaining unit, a volume information calculating unit, and a controlling unit. The image obtaining unit obtains a plurality of groups of two-dimensional ultrasound image data each of which is generated by performing ultrasound scans, the ultrasound scans being performed on each of a plurality of predetermined cross-sectional planes, and performed for predetermined time. The contour position obtaining unit obtains, by performing a tracking process over the predetermined time period, time-series data of contour positions, the contour positions being either one of, or both of, a cavity interior and a cavity exterior of a predetermined site. The volume information calculating unit calculates, on a basis of a plurality of the time-series data of contour positions, volume information of the predetermined site. The controlling unit exercises control so as to output the volume information.