Systems and methods for automated medical diagnostics

    公开(公告)号:US10861604B2

    公开(公告)日:2020-12-08

    申请号:US15344390

    申请日:2016-11-04

    IPC分类号: G16H50/20 G06F19/00

    摘要: Presented are systems and methods that provide patients with diagnostic measurement tools and clear and concise audio/video guidance to reliably and accurately perform clinical grade diagnostic measurements of key vital signs. In various embodiments, this is accomplished by using an automated remote (or local, e.g., in the form of a kiosk) end-to-end medical diagnostic system that monitors equipment usage for accuracy. The diagnostic system analyzes patient responses, measurement data, and patient-related information to generate diagnostic and/or treatment information that may be shared with healthcare professionals and specialists, as needed. Automation provides for timely, hassle-free, and cost-effective health care management that takes the stress out of doctor visits, while delivering personalized health care. The high accuracy of generated diagnostic data improves health care to patients and reduces the risk of medical malpractice for treating physicians.

    SYSTEMS AND METHODS FOR CREATING AN EXPERT-TRAINED DATA MODEL

    公开(公告)号:US20190279767A1

    公开(公告)日:2019-09-12

    申请号:US15913780

    申请日:2018-03-06

    摘要: Presented are systems and methods for using expert knowledge to generate, train, and use a medical data model that uses medical data from a number of sources to generate likelihoods that a given set of symptoms is caused or related to one or more illnesses. Various embodiments accomplish this by parsing medical and non-medical data into keywords and target words to learn, e.g., based on a characteristic of the parsed words, an association between keywords and target words. Based on the learned associations, likelihood scores are then generated that represent, for example, a relationship between a set of symptoms and an illness, a treatment, and an outcome.

    SYSTEM AND METHOD FOR AUTOMATED DIAGNOSIS AND TREATMENT

    公开(公告)号:US20190221310A1

    公开(公告)日:2019-07-18

    申请号:US15872274

    申请日:2018-01-16

    摘要: Various embodiments of the present application relate to systems and methods for automated diagnosis and treatment, especially for automated diagnosis and treatment integrated with artificial intelligence as well as incorporating treatment scheme feedback. The automated healthcare diagnosis and treatment comprises a doctor apparatus to receive patient symptom input, electronic history records, retrieved reference information and diagnostic results presented by a diagnostic engine. The doctor may choose one presented diagnostic result as the identified diagnostic result or request further diagnostic result for further reference. Furthermore, the doctor may follow generated treatment schemes based on the identified diagnostic result, or input a new treatment scheme different from the generated treatment schemes. The decision of the doctor is used as a feedback to the system for diagnostic and treatment module update. The application of these methods may result in an improvement in efficiency and consistency for automated diagnosis and treatment.

    SYSTEMS AND METHODS FOR GENERATING MEDICAL DIAGNOSIS

    公开(公告)号:US20170323071A1

    公开(公告)日:2017-11-09

    申请号:US15355472

    申请日:2016-11-18

    IPC分类号: G06F19/00

    CPC分类号: G06F19/3418 G16H50/30

    摘要: Presented are systems and methods that provide diagnostic measurement tools that enable even laymen to reliably and accurately perform clinical-grade diagnostic measurements of their key medical instrument measured data with little or no intervention by a health care professional and to engage in some level of self-diagnosis to detect acute conditions, previously the exclusive domain of health care professionals. In various embodiments, this is accomplished by using an automated remote (or local, e.g., in the form of a kiosk) medical diagnostic system that provides clear and concise audio/video guidance to the patient and monitors the patient's equipment usage to generate high-accuracy measurement data that utilizes a diagnostic engine to provide an output of potential diagnosis that may be analyzed locally and shared with health care professionals and specialists, as needed.

    SYSTEMS AND METHODS FOR AUTOMATED MEDICAL DIAGNOSTICS

    公开(公告)号:US20170323064A1

    公开(公告)日:2017-11-09

    申请号:US15344390

    申请日:2016-11-04

    IPC分类号: G06F19/00

    CPC分类号: G06F19/325 G16H50/20

    摘要: Presented are systems and methods that provide patients with diagnostic measurement tools and clear and concise audio/video guidance to reliably and accurately perform clinical grade diagnostic measurements of key vital signs. In various embodiments, this is accomplished by using an automated remote (or local, e.g., in the form of a kiosk) end-to-end medical diagnostic system that monitors equipment usage for accuracy. The diagnostic system analyzes patient responses, measurement data, and patient-related information to generate diagnostic and/or treatment information that may be shared with healthcare professionals and specialists, as needed. Automation provides for timely, hassle-free, and cost-effective health care management that takes the stress out of doctor visits, while delivering personalized health care. The high accuracy of generated diagnostic data improves health care to patients and reduces the risk of medical malpractice for treating physicians.