A method includes, receiving multiple signals from multiple respective electrodes arranged along an inner circumference of a blood vessel that has been ablated. Based on the multiple signals, one or more quality measures of the ablated blood vessel are produced. A graphical presentation indicative of the one or more quality measures, is displayed to a user in a two-dimensional (2D) polar coordinate system.

A method includes, inserting into an organ of a patient, a catheter having an expandable distal-end assembly, which is coupled to a shaft and includes multiple splines, at least a given spline among the multiple splines includes an electrode that is being placed in contact with tissue of the organ. At least a size of a section of the electrode in contact with the tissue, is controlled by moving a tube over at least a portion of the expandable distal-end assembly.

A system for hepatic nerve denervation includes a medical device and a generator in communication with the medical device. The medical device includes an elongate body having a proximal portion and a distal portion opposite the proximal portion, and a plurality of treatment electrodes coupled to the distal portion. The distal portion is configured to be in contact with an area of target tissue. The area of target tissue is an area of tissue within the hepatic artery. The generator is configured to generate and deliver at least one pulse train of energy to the plurality of treatment electrodes to ablate the area of target tissue.

According to one example of the present disclosure an infusion device is configured to control a medication delivery apparatus to intravenously deliver a pharmaceutical preparation to a patient. The infusion device comprises a processor and a memory storing instructions executable by the processor to cause the medication delivery apparatus to deliver the pharmaceutical preparation to the patient according to a predetermined dose profile. The predetermined dose profile is designed to deliver a therapeutic dose of the pharmaceutical preparation to the patient over a predetermined infusion time in a manner which facilitates safe detection of an adverse reaction of the patient to the pharmaceutical preparation, or desensitization the patient to the pharmaceutical preparation, during a first stage of administering the therapeutic dose.

Various embodiments are described herein for a system and associated method for performing collagen assessment of an object using Photoacoustic Image (PA) data obtained for the object, wherein the method is performed by a processing unit and the method comprises: obtaining beamformed PA image data for the object using at least three wavelengths related to chromophores including collagen, oxyhemoglobin and deoxyhemoglobin, the three wavelengths being less than 1000 nm; performing spectral decomposition on the beamformed PA image data using the three wavelengths to obtain data that is used for generating at least one collagen map; and determining a collagen score for the at least one collagen map.

An XR-based system (virtual reality, augmented reality, or mixed reality system), is provided to visualize and resolve at least one condition of a subject. A dynamic virtual representation of the subject's body is generated based on the captured physical traits and movement of the subject's body is captured by at least one motion tracking device, and rendered in the extended reality environment. The dynamic virtual representation is synchronized with the movement of the body of the subject, generating a virtual representation of at least one condition of the subject in response to one or more inputs, overlaying or rendering the virtual representation of the condition of the subject on the virtual representation of the body of the subject, and receiving and processing one or more inputs representing one or more attributes of the condition to adjust the virtual representation of the condition of the subject in the extended reality environment.

A method includes, receiving: (i) a selected three-dimensional (3D) section that has been ablated in a patient organ in accordance with a specified contour, and (ii) a dataset, which is indicative of a set of lesions formed during ablation of the selected 3D section. The selected 3D section is transformed into a two-dimensional (2D) map, and checking, on the 2D map, whether the set of lesions covers the specified contour.

Systems and methods are disclosed for analyzing data from oncology treatments such as immune checkpoint inhibitor or radiotherapy therapies, including predicting adverse events of the oncology therapies, predicting objective response of the oncology therapies, predicting symptoms from the oncology therapies, and use of such predictions by technological implementations to achieve improved system and medical outcomes. An example technique for generating a predicted treatment outcome includes: receiving patient data for a human subject, which provides patient-reported outcomes collected from the human subject relating to a particular oncology treatment; processing the patient data with a trained artificial intelligence (AI) prediction model, which receives the patient data as input and produces a prediction of a treatment outcome as output; and outputting data to modify a treatment workflow of an oncology treatment for the human subject, based on the prediction of the treatment outcome.

Systems and methods for the treatment of gastroesophageal reflux disease (GERD) include at least one electrically stimulating electrode coupled to a pulse generator. Individuals with GERD are treated by implanting a stimulation device within and/or proximate the patient's lower esophageal sphincter, gastric fundus, or other nearby gastrointestinal structures and applying electrical stimulation to the patient's lower esophageal sphincter and/or fundus, in accordance with certain predefined protocols. Electrical stimulation provided by the disclosed systems results in an increase in the length of the high pressure zone of the LES and/or modulation of the receptive relaxation response of the fundus to decrease gastric pressure, creating a longer barrier to the reflux of gastric contents or increasing functional lower esophageal pressure respectively, thereby treating GERD.

The present disclosure relates to noninvasive methods for detecting liver fibrosis. Disclosed herein are noninvasive liver fibrosis detection methods that use Doppler Ultrasound devices and a physics-based machine learning method. Further disclosed herein are methods for detecting liver fibrosis in a subject by detecting and measuring the presence of a shift in the frequency of blood flow in the hepatic vein as compared to the frequency of blood flow in the portal vein.