Disclosed herein are systems and methods for locating and identifying nerves innervating the wall of arteries such as the renal artery. The present invention identifies areas on vessel walls that are innervated with nerves; provides indication on whether energy is delivered accurately to a targeted nerve; and provides immediate post-procedural assessment of the effect of energy delivered to the nerve. The methods includes evaluating a change in physiological parameters after energy is delivered to an arterial wall; and determining the type of nerve that the energy was directed to (sympathetic or parasympathetic or none) based on the evaluated results. The system includes at least a device for delivering energy to the wall of blood vessel; sensors for detecting physiological signals from a subject; and indicators to display results obtained using said method. Also provided are catheters for performing the mapping and ablating functions.

Systems and methods for monitoring patients with multiple chronic diseases are described. A system may include a health status monitor that receives diagnostic data including physiological signals sensed from a patient. The system may produce at least a first risk indication of the patient developing a first disease and a second risk indication of the patient developing a different second disease. The system may detect the first and second diseases from the physiological signals, and generate a composite health status indicator using the detections of the first and second diseases and the first and second risk indications. An alert of worsening health status may be generated if the composite detection score exceeds an alert threshold.

This invention provides methods for mapping and ablating renal nerves to treat disease caused by systemic renal nerve hyperactivity, e.g. hypertension, heart failure, renal failure and diabetes. Also provided are catheters for performing the mapping and ablating functions.

A surgical locator circuit identifies a surgical target such as a kidney stone by disposing an emitter such as a magnetic source behind or adjacent the surgical target, and employing the circuit to identify an axis to the emitter, thus defining an axis or path to the surgical target. An array of sensors arranged in an equidistant, coplanar arrangement each senses a signal indicative of a distance to the emitter. A magneto resistor sensor generates a variable resistance is responsive to the distance to a magnetic coil emitting a magnetic field. An equal signal from each of the coplanar sensors indicates positioning on an axis passing through a point central to the sensors and orthogonal to the plane. A fixed element and signal conditioner augments and normalizes the signal received from each of the sensors to accommodate subtle differences in magneto resistive response among the plurality of sensors.

A kidney viability assessment system (KVAS) is disclosed which provides objective and reliable tests to assess the viability of transplant or donor kidneys in vivo and predict their post-transplant outcomes. KVAS includes an optical device augmented by an intelligent algorithm that can evaluate the viability or quality of the donor kidney in a real-time, non-invasive way. In particular, it includes a handheld optical coherence tomography (OCT) imaging device and at least one processor configured for executing a set of instructions corresponding to an automatic image processing algorithm for quantification of kidney microstructures and functions. Handheld OCT can survey the entire surface of kidney, and the image processing algorithm automatically segments and quantifies the diameter and/or density of the kidney microstructures, blood flows, etc., and quantitative values are displayed in real-time on a display of the KVAS.

Systems and methods for monitoring patients with a chronic disease such as heart failure are disclosed. The system may include a physiological sensor circuit to sense physiological signals and generate signal metrics from the physiological signals. The system may include a health status analyzer circuit to use the signal metrics to generate one or more stability indicators of patient health status, such as stability of heart failure status. The system may additionally generate one or more health status indicators indicating patient health status such as heart failure progression. A patient disposition decision may be generated using the health status indicators and the stability indicators to provide an indication of readiness for patient discharge from or a risk of admission to a hospital.

This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.

An example method of diagnosing chronic kidney disease (CKD) includes obtaining an electronic medical record for a patient having medical data. The medical data includes an indication if the patient had been previously diagnosed with CKD, an indication if the patient had previously undergone a kidney transplant, an indication if the patient had previously undergone a renal dialysis procedure, an indication if the patient had previously been diagnosed with another type of kidney disease, one or more glomerular filtration rate (GFR) measurements associated with the patient, an indication if the patient has type 2 diabetes, and/or an indication if the patient has hypertension. The method also includes automatically determining that the patient has CKD or does not have CKD based on the medical data in the electronic record.

The present application describes a urine sensing probe and a system for detecting urine. The urine sensing probe includes a needle having a tubular portion and one or more optical fibers positioned within the needle. The one or more optical fibers have a distal surface that is oriented towards a beveled distal section of the needle and is oriented to one of its lateral sides. The distal surface of the one or more optical fibers ranges from about 90 to a critical angle with respect to a vertical axis of the needle. The present application also describes a system for sensing urine including a urine sensing probe.

This invention provides methods for mapping and ablating renal nerves to treat disease caused by systemic renal nerve hyperactivity, e.g. hypertension, heart failure, renal failure and diabetes. Also provided are catheters for performing the mapping and ablating functions.