SYSTEMS AND METHODS FOR PROCESSING MRI DATA

    公开(公告)号:US20220139530A1

    公开(公告)日:2022-05-05

    申请号:US17594234

    申请日:2020-04-21

    IPC分类号: G16H30/20

    摘要: The present disclosure provides systems and methods for automating the QC of MRI scans. Particularly, the inventors trained machine learning classifiers using features derived from brain MR images and associated processing to predict the quality of those images, which is based on the ground truth of an expert's opinion. In one example, classifiers that utilized features derived from preprocessing log files (textual files output during MRI preprocessing) were particularly accurate and demonstrated an ability to be generalized to new datasets, which allows the disclosed technology to be scalable to new datasets and MRI preprocessing pipelines.

    Multimodal biomarkers predictive of transdiagnostic symptom severity

    公开(公告)号:US11289187B2

    公开(公告)日:2022-03-29

    申请号:US17270780

    申请日:2019-08-29

    摘要: The method for evaluating mental health of a patient includes displaying a series of inquiries from mental health questionnaires on a display device. Each inquiry of the series of inquiries includes text and a set of answers. A series of selections is received from a user interface. Each selection of the series of selections is representative of an answer of the set of answers for each corresponding inquiry in the series of inquiries. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with a patient. Using a machine learning model, the series of selections and the unprocessed MRI data are processed. The series of selections being processed corresponds to the series of inquiries. A symptom severity indicator for a mental health category of the patient is outputted.

    SYSTEMS AND METHODS FOR SCREENING, DIAGNOSING, AND STRATIFYING PATIENTS

    公开(公告)号:US20210361210A1

    公开(公告)日:2021-11-25

    申请号:US17443387

    申请日:2021-07-26

    摘要: A system includes a display device, a user interface, a memory, and a control system. The memory contains machine readable medium including machine executable code storing instructions for performing a method. The control system is coupled to the memory, and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to display, on the display device, a series of questions from mental health questionnaires. The series of questions includes text and answers for each question. From the user interface, a selection of answers of each of the displayed series of questions is received from a patient. Using a Bayesian Decision List, the received selection of answers is processed to output an indication of mental health of the patient. The indication of mental health identifies a kappa opioid receptor antagonist to which the patient would likely be a higher responder.