A method of reviewing neural scans includes receiving at least one landmark corresponding to an anatomical region. A plurality of images of tissue including the anatomical region is received and a neural network configured to differentiate between healthy tissue and unhealthy tissue within the anatomical region is generated. The neural network is generated by a machine learning process configured to receive the plurality of images of tissue and generate a plurality of weighting factors configured to differentiate between healthy tissue and unhealthy tissue. At least one patient image of tissue including the anatomical region is received and a determination is made by the neural network whether the at least one patient image of tissue includes healthy or unhealthy tissue.

The present subject matter relates to a non-invasive optical imaging method for monitoring early pathological events specific to Alzheimer's disease (AD), such as the development, amount and location of amyloid plaques. The ability to monitor such events provides a basis for, among other things, AD diagnosis, prognosis and assessment of potential therapies. In addition, the present subject matter introduces novel methods for treating AD and retinal ailments associated with AD. A-plaque detection in living brains is extremely limited, especially at high resolution; therefore the present invention is based on studies focusing on the eyes as an alternative to brain-derived tissue that can be imaged directly, repetitively and non-invasively.

Various systems and methods are provided for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking. In general, a patient can be tracked throughout medical treatment including through initial onset of symptoms, diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment. In one embodiment, a patient and one or more medical professionals involved with treating the patient can electronically access a comprehensive treatment planning, support, and review system. The system can provide recommendations regarding diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment based on data gathered from the patient and the medical professional(s). The system can manage the tracking of multiple patients, thereby allowing for data comparison between similar aspects of medical treatments and for learning over time through continual data gathering, analysis, and assimilation to decision-making algorithms.

A method of treating cardiac arrhythmia in a heart, including (i) determining that cardiac tissue is viable but with reduced innervation; and (ii) ablating the tissue to reduce a prevalence of arrhythmia in said heart. Optionally, the determining comprises detecting portions of heart wall which lack electrical activity. Optionally, at least some tissue which is viable but lacks nervous control is ablated, for example, to reduce or avoid arrhythmia.

The present disclosure illustrates a method and an apparatus of fiber tracking, and non-transitory computer-readable medium thereof. In an embodiment, a fiber tracking process is performed on a diffusion magnetic resonance image of a subject's brain based on validated and better tracking parameters, so as to obtain first tracking images, nerve fibers between two first regions of interest in each of the first tracking images are extracted, a nerve fasciculus skeleton is established based on an overlapping process performed on the plurality of nerve fibers extracted from the first tracking images, and the nerve fibers more similar to the structure of the nerve fasciculus skeleton are selected to obtain a specific fasciculus of the subject. Thus, the technical solution of the present disclosure can be used to improve the sensitivity of fiber tracking and be useful for improvement of preoperative assessment and surgical navigation.

Embodiments related to methods and wearable medical detecting systems for detecting disease states and/or treatment states of a subject are described. In one embodiment, a wearable structure may include one or more radiation detectors use to detect a time varying radiation signal emitted from a labeled compound within a body portion of interest. The radiation signal may be analyzed to determine one or more signal characteristics that may be compared to one or more predetermined standard characteristics associated with known disease and/or treatment states to determine a current disease and/or treatment state of a subject.

The present disclosure illustrates a method and an apparatus of fiber tracking, and non-transitory computer-readable medium thereof. In an embodiment, a fiber tracking process is performed on a diffusion magnetic resonance image of a subject's brain based on validated and better tracking parameters, so as to obtain first tracking images, nerve fibers between two first regions of interest in each of the first tracking images are extracted, a nerve fasciculus skeleton is established based on an overlapping process performed on the plurality of nerve fibers extracted from the first tracking images, and the nerve fibers more similar to the structure of the nerve fasciculus skeleton are selected to obtain a specific fasciculus of the subject. Thus, the technical solution of the present disclosure can be used to improve the sensitivity of fiber tracking and be useful for improvement of preoperative assessment and surgical navigation.

Systems and methods are provided for performing model-based cochlear implant programming (MOCIP) on a living subject with a cochlear implant (CI) to determine stimulation settings of a patient-customized electro-neural interface (ENI) model. The method includes: localizing an electrode array of the CI and intracochlear structures of the living subject to determine patient-specific electrode positions of the CI and a patient-specific anatomy shape; generating a CI electric field model based on the patient-specific electrodes positions of the CI and the patient-specific anatomy shape; and establishing an auditory nerve fiber (ANF) bundle model using the CI electric field model, and estimating neural health of the living subject using the ANF bundle model applications of the same.

An image processing apparatus includes a processor programmed to obtain a first radiation image of a subject captured from a first direction, obtain a second radiation image of the subject captured from a second direction that intersects the first direction, and either correct one of the first radiation image and the second radiation image based on positional information of a device for capturing the one of the first radiation image and the second radiation image, or correct another one of the first radiation image and the second radiation image based on information on a position of a specific region of the subject obtained from the one of the first radiation image and the second radiation image.

The present invention is directed to a system and method for echogenically enhancing a target site within a patient during a medical procedure. The system includes an imaging system having a display for viewing the target site, a plurality of metallic particles configured to selectively target and bind to one or more locations at the target site, and a delivery mechanism for delivering the plurality of metallic particles into the patient towards the target site. As such, the method includes delivering, via the delivery mechanism, the plurality of metallic particles into the patient and allowing the metallic particles to selectively target and bind to the target site. The method also includes viewing, via a display of an imaging system, the target site with the plurality of metallic particles bound thereto.