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公开(公告)号：US20180330059A1
公开(公告)日：2018-11-15
申请号：US15590997
申请日：2017-05-09
IPC分类号： G06F19/00
CPC分类号： G16H10/60 , G06F19/324 , G06Q10/1095 , G16H50/20 , G16H50/30
摘要： Presented are systems and methods for providing doctors and patients with treatment information based on computer-aided diagnoses that has been generated using patient input, electronic health care record information, and medical instrument input data. The treatment and/or diagnostic information may be shared with health care professionals and specialists, as needed.
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公开(公告)号：US20180330058A1
公开(公告)日：2018-11-15
申请号：US15590721
申请日：2017-05-09
申请人： James Stewart Bates
发明人： James Stewart Bates
IPC分类号： G06F19/00
CPC分类号： G16H10/60 , G06F19/325 , G16H50/20 , G16H50/30
摘要： Presented are systems and methods that generate and maintain electronic health care records using a diagnostic tool that analyzes patient responses, medical instrument data, and other patient-related information that may become part of a patient's electronic health care record. The diagnostic tool generates diagnostic and/or treatment information that may be analyzed locally and shared with health care professionals and specialists, as needed.
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公开(公告)号：US10939806B2
公开(公告)日：2021-03-09
申请号：US15913801
申请日：2018-03-06
申请人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
发明人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
摘要： Presented are systems and methods for the accurate acquisition of medical measurement data of a body part of patient. To assist in acquiring accurate medical measurement data, an automated diagnostic and treatment system provides instructions to the patient to allow the patient to precisely position a medical instrument in proximity to a target spot of a body part of patient. Based on a series of images acquired from a kiosk camera and an instrument camera, these instructions are generated. Subsequent images from instrument camera are analyzed by automated diagnostic and treatment system utilizing a database and deep convolution neural network (DCNN) to obtain measured medical data. An error threshold measurement by the automated diagnostic and treatment system may determine the accuracy of the instrument positioning and the medical measured data. The measured medical data may be communicated to a physician.
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公开(公告)号：US20180365383A1
公开(公告)日：2018-12-20
申请号：US15628411
申请日：2017-06-20
申请人： James Stewart Bates
发明人： James Stewart Bates
摘要： Presented are systems and methods for examining patients and generating diagnostic medical data to make automated diagnoses and treatment recommendations to patients and doctors. Various embodiments of the present invention provide patients with diagnostic tools and audio/video guidance to reliably and accurately perform clinical grade diagnostic measurements of key vital signs. In 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.
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公开(公告)号：US11164679B2
公开(公告)日：2021-11-02
申请号：US15628411
申请日：2017-06-20
申请人： James Stewart Bates
发明人： James Stewart Bates
IPC分类号： G16H80/00 , A61B5/00 , G06Q50/22 , G16H40/63 , G16H50/20 , G16H10/20 , G16H30/20 , G16H40/20 , H04N7/14 , A61B5/0205
摘要： Presented are systems and methods for examining patients and generating diagnostic medical data to make automated diagnoses and treatment recommendations to patients and doctors. Various embodiments of the present invention provide patients with diagnostic tools and audio/video guidance to reliably and accurately perform clinical grade diagnostic measurements of key vital signs. In 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.
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公开(公告)号：US20190214134A1
公开(公告)日：2019-07-11
申请号：US15863078
申请日：2018-01-05
申请人： James Stewart Bates
发明人： James Stewart Bates
CPC分类号： G16H50/20 , G06N3/0445 , G06N5/02 , G06N20/00 , G10L15/16 , G10L15/183 , G10L15/22 , G16H10/60
摘要： Various embodiments of the present application relate to systems and methods for automated healthcare services, especially for automated healthcare services integrated with artificial intelligence. The automated healthcare system comprises a patient apparatus to provide symptom input, a medical information communication application to retrieve reference information with artificial intelligence integrated process, and a diagnostic engine to diagnose and present diagnostic results. The retrieved reference is mapped and categorized in a coherent way to provide support for the diagnostic engine. A guided measurement process may be incorporated for diagnostic assistance. The application of these methods may result in an improvement in efficiency and consistency for automated healthcare applications.
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公开(公告)号：US20190066850A1
公开(公告)日：2019-02-28
申请号：US16170775
申请日：2018-10-25
申请人： James Stewart Bates
发明人： James Stewart Bates
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 key vital signs with little or no intervention by a health care professional. In various embodiments, this is accomplished by using an automated 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 may be analyzed locally and shared with health care professionals and specialists, as needed.
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公开(公告)号：US11348688B2
公开(公告)日：2022-05-31
申请号：US15913822
申请日：2018-03-06
申请人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
发明人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
摘要： Presented are systems and methods for the accurate acquisition of medical measurement data of a body part of patient. To assist in acquiring accurate medical measurement data, an automated diagnostic and treatment system provides instructions to the patient to allow the patient to precisely position a medical instrument in proximity to a target spot of a body part of patient. For a stethoscope examination, the steps may include utilizing object tracking to determine if the patient has moved the stethoscope to a recording site; utilizing DSP processing to confirm that the stethoscope is in operation, utilizing DSP processing to generate a pre-processed audio sample from a recorded audio signal; using machine learning (ML) to determine if a signal of interest (SOI) is present in the pre-processed sample. If SoI is present, using ML to evaluate characteristics in the signal which indicate the presence of abnormalities in the organ being measured.
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公开(公告)号：US20190279768A1
公开(公告)日：2019-09-12
申请号：US15913822
申请日：2018-03-06
申请人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
发明人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
IPC分类号： G16H50/20 , A61B5/0205 , A61B5/04 , A61B7/02
摘要： Presented are systems and methods for the accurate acquisition of medical measurement data of a body part of patient. To assist in acquiring accurate medical measurement data, an automated diagnostic and treatment system provides instructions to the patient to allow the patient to precisely position a medical instrument in proximity to a target spot of a body part of patient. For a stethoscope examination, the steps may include utilizing object tracking to determine if the patient has moved the stethoscope to a recording site; utilizing DSP processing to confirm that the stethoscope is in operation, utilizing DSP processing to generate a pre-processed audio sample from a recorded audio signal; using machine learning (ML) to determine if a signal of interest (SOI) is present in the pre-processed sample. If SoI is present, using ML to evaluate characteristics in the signal which indicate the presence of abnormalities in the organ being measured.
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公开(公告)号：US20190274523A1
公开(公告)日：2019-09-12
申请号：US15913801
申请日：2018-03-06
申请人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
发明人： James Stewart Bates , Kristopher Perry , Chaitanya Prakash Potaraju , Pranav Bhatkal , Aditya Shirvalkar , Tristan Royal
摘要： Presented are systems and methods for the accurate acquisition of medical measurement data of a body part of patient. To assist in acquiring accurate medical measurement data, an automated diagnostic and treatment system provides instructions to the patient to allow the patient to precisely position a medical instrument in proximity to a target spot of a body part of patient. Based on a series of images acquired from a kiosk camera and an instrument camera, these instructions are generated. Subsequent images from instrument camera are analyzed by automated diagnostic and treatment system utilizing a database and deep convolution neural network (DCNN) to obtain measured medical data. An error threshold measurement by the automated diagnostic and treatment system may determine the accuracy of the instrument positioning and the medical measured data. The measured medical data may be communicated to a physician.
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