A risk prediction method is executed by a computer of a risk predictor using a convolutional
neural network. The method includes making the convolutional neural network acquire an …

Disclosed are provided systems, methods, and apparatuses for implementing a multi-
resolution neural network for use with imaging intensive applications including medical …

A system and method for automating the selection of end-diastolic ultrasound frames (EUFs]
and regions of interest (ROIs] of the common carotid artery (CCA] to measure the carotid …

Abstract Systems for selecting candidates for labelling and use in training a convolutional
neural network (CNN) are provided, the systems comprising: a memory device; and at least …

Detecting a pulmonary embolism (PE) in an image dataset of a blood vessel involves
obtaining a volume of interest (VOI) in the blood vessel, generating a plurality of PE …

The present disclosure describes imaging systems configured to generate adaptive
scanning protocols based on anatomical features and conditions identified during a prenatal …

A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood
flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular …

QZHBYNSSDLTCRG-LREBCSMRSA-N 5-bromo-n-(4, 5-dihydro-1h-imidazol-2-yl)
quinoxalin-6-amine;(2r, 3r)-2, 3-dihydroxybutanedioic acid Chemical compound OC …

A61B8/4245—Details of probe positioning or probe attachment to the patient involving
determining the position of the probe, eg with respect to an external reference frame or to the …

Methods, systems, and media for selecting candidates for annotation for use in training
classifiers are provided. In some embodiments, the method comprises: identifying, for a …