Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

A system is provided for connecting a surgically implantable neurostimulation device to an neurophysiological monitoring device. The system includes an apparatus connecting the neurophysiological monitoring device to the implanted neurostimulation device. The connecting apparatus includes a port couplable to the neurostimulation device and a plurality of electrode pin connectors extending from the port that are connectable to the neurophysiologic monitoring device. Using the connecting apparatus, signals from the neurophysiologic monitoring device can be transmitted for stimulation and responses can be transmitted to the neurophysiologic monitoring device to enable accurate positioning of electrodes of the neurostimulation device.

Described herein are methods and systems for using EEG recordings to improve vagus nerve stimulation (VNS) therapy. In particular, described herein are methods and systems for using EEG recordings to detect P300 and/or activation of the nucleus basalis and/or the locus coeruleus to determine the efficacy of VNS. The EEG recordings can be used to provide feedback control to help optimize stimulation parameters and to screen for patients that respond well to VNS therapy.

An apparatus including a set of virtual reality goggles affixable to a patient is provided. The set of virtual reality goggles includes two central lenses employed to be positioned over the patient's eyes, securing means configured to secure a computing device to the set of virtual reality goggles, and means for determining a distance between the patient's eyes and the computing device. The set of virtual reality goggles is employable to test visual and/or mental attributes of the patient.

Provided are Raman systems and methods for detection of cancerous tissues in tumor margins in real time during surgical procedures. The systems include a laser excitation source, a probe, a spectrometer and a camera specifically designed for use of Raman spectroscopy in real time during surgery. The inventive methods pertain to quality assessment of Raman data, comparison of obtained Raman data against known biomarkers and classification of tissue as cancerous or non-cancerous on the basis of corresponding Raman data. The systems and methods allow for previously unavailable detection and classification of tissue with Raman spectroscopy in real time surgical applications, including the identification of cancer sub-types.

DICOM data is automatically prepared for transit outside of the clinical-data infrastructure, by examining a plurality of metadata fields in the corresponding metadata in the DICOM data; identifying a first subset of the metadata fields as containing private information; identifying a second subset of the metadata fields as private-information free; accessing at least some of the plurality of layers of the DICOM data; and transforming the accessed layers into a single transmission-image, the transmission-image being in a format i) other than DICOM and ii) that stores the second subset of the metadata fields as transmission-metadata in a scheme that is non-redundant for a given transmission-image.

An exemplary system, method, and computer-accessible medium for determining a position or a characteristic of a target(s) for a transcranial magnetic stimulation (TMS) treatment of a patient(s) can be provided, which can include, for example, receiving imaging information of a portion(s) of a head of the patient(s), and determining the position or the characteristic of the target(s) for the TMS treatment of the patient(s) based on the imaging information. The imaging information can be magnetic resonance imaging information. The imaging information can include information regarding a brain and a skull of the patient(s). The position or the characteristic of the target(s) can be determined by identifying (i) the skull, and (ii) a parcel in a section(s) of a brain of the patient(s). The parcel can a dorsolateral prefrontal cortex (DLPFC) parcel. The DLPFC parcel can be identified using a parcellation procedure, which can be a human connectome pipeline procedure.

A method for predicting abnormal eye convergence in a human or animal subject may involve tracking eye movement of at least one eye of the subject to generate eye tracking data for the subject and using the eye tracking data to predict whether the subject has abnormal eye convergence. A method for diagnosing a brain injury in a human or animal subject may involve tracking eye movement of at least one eye of the subject to generate eye tracking data for the subject, using the eye tracking data to predict whether the subject has abnormal eye convergence, and predicting whether a brain injury has occurred in the subject, based on the prediction of whether the subject has abnormal eye convergence.

An apparatus for processing nuclear magnetic resonance and magnetic resonance spectroscopy data may. include: a data input unit configured to receive input data from a magnetic resonator, define incomplete data from the input data based on a sampling time, and classify, based on a preset criterion, remaining data of the input data except the incomplete data as ground truth data satisfying the preset criterion or bad data not satisfying the preset criterion; a data recovery unit configured to obtain recovered data by recovering the incomplete data and the bad data which are received from the data input unit; and a disease diagnosis unit configured to generate metabolite quantification data based on a metabolite concentration range by using the ground truth data received from the data input unit and the recovered data received from the data recovery unit.

This invention discloses a method for improving behavioral deficits and lowering brain Aβ42 in subjects at risk for or in early stage of Alzheimer's disease or other neurodegenerative diseases by exposing said subject to frequent repetitive low intensity blast overpressure. The invention also discloses a method for treating and preventing Alzheimer's disease or other neurodegenerative diseases and associated conditions by reduce abnormal accumulation of brain protein, improve brain inflammation and clearance of amyloid beta.