Abstract: An ischemic stroke mimic is detected, or otherwise predicted, based on medical images acquired from a subject. Medical image data, which include medical images acquired from a head of the subject, are accessed with a computer system. A machine learning model (e.g., one or more deep convolutional neural networks) is trained on training data to estimate a probability of an acute intracranial abnormality being depicted in a medical image. Intracranial abnormality prediction data are generated by inputting the medical image data to the machine learning model. The intracranial abnormality prediction data include an intracranial abnormality probability score for each of the medical images in the medical image data. An ischemic stroke mimic classification for the medical image data is generated based on the intracranial abnormality prediction data, and may be displayed to a user with the computer system.

Abstract: An ischemic stroke mimic is detected, or otherwise predicted, based on medical images acquired from a subject. Medical image data, which include medical images acquired from a head of the subject, are accessed with a computer system. A machine learning model (e.g., one or more deep convolutional neural networks) is trained on training data to estimate a probability of an acute intracranial abnormality being depicted in a medical image. Intracranial abnormality prediction data are generated by inputting the medical image data to the machine learning model. The intracranial abnormality prediction data include an intracranial abnormality probability score for each of the medical images in the medical image data. An ischemic stroke mimic classification for the medical image data is generated based on the intracranial abnormality prediction data, and may be displayed to a user with the computer system.

Abstract: Systems and methods for determining brain health of a subject include or employ an electrical stimulator configured to apply a current to at least one pair of electrodes, and the electrodes are positioned on a skull of the subject to apply the current and to receive brain activity of the subject. The electrical stimulator is configured to apply a current having a waveform according to a Stochastic Gabor Function (SGF). A signal processor is configured to record the brain activity of the subject in the form of spectral electrical impedance data, and a computer system having non-transient computer readable media is programmed and configured to process the spectral electrical impedance data and indicate an impedance change within the brain of the subject.

Abstract: Systems and methods for determining brain health of a subject include or employ an electrical stimulator configured to apply a current to at least one pair of electrodes, and the electrodes are positioned on a skull of the subject to apply the current and to receive brain activity of the subject. The electrical stimulator is configured to apply a current having a waveform according to a Stochastic Gabor Function (SGF). A signal processor is configured to record the brain activity of the subject in the form of spectral electrical impedance data, and a computer system having non-transient computer readable media is programmed and configured to process the spectral electrical impedance data and indicate an impedance change within the brain of the subject.