Patents by Inventor Aditya Shirvalkar
Aditya Shirvalkar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11935656Abstract: 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.Type: GrantFiled: May 30, 2022Date of Patent: March 19, 2024Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal
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Publication number: 20220293273Abstract: 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.Type: ApplicationFiled: May 30, 2022Publication date: September 15, 2022Applicant: AdviNow, Inc.Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal
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Patent number: 11348688Abstract: 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.Type: GrantFiled: March 6, 2018Date of Patent: May 31, 2022Assignee: Advinow, Inc.Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal
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Patent number: 11302444Abstract: A system and method for processing mammographic images of target breast tissue is provided. The mammographic images are processed to generate modified images. A deep learning algorithm, having a tailored Convolutional Neural Networks (CNN) model, is applied to the modified images to generate a first output and a second output. Global features associated with the entirety of the mammographic images are extracted by using the first output. Local features associated with Regions of Interest (ROIs) of the mammographic images are extracted by using the second output. The global features and the local features are combined and fuse to generate an indicator representative of likelihood of malignancy of the target breast tissue.Type: GrantFiled: May 29, 2020Date of Patent: April 12, 2022Assignee: BOSTON MEDITECH GROUP INC.Inventors: Daniel Q. Chen, Aditya Shirvalkar, Thomas Boot, Yang Yu, Humayun Irshad
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Publication number: 20210375458Abstract: A system and method for processing mammographic images of target breast tissue is provided. The mammographic images are processed to generate modified images. A deep learning algorithm, having a tailored Convolutional Neural Networks (CNN) model, is applied to the modified images to generate a first output and a second output. Global features associated with the entirety of the mammographic images are extracted by using the first output. Local features associated with Regions of Interest (ROIs) of the mammographic images are extracted by using the second output. The global features and the local features are combined and fuse to generate an indicator representative of likelihood of malignancy of the target breast tissue.Type: ApplicationFiled: May 29, 2020Publication date: December 2, 2021Applicant: Boston Meditech Group Inc.Inventors: Daniel Q. Chen, Aditya Shirvalkar, Thomas Boot, Yang Yu, Humayun Irshad
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Publication number: 20210186312Abstract: 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.Type: ApplicationFiled: March 8, 2021Publication date: June 24, 2021Applicant: AdviNow, Inc.Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal
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Patent number: 10939806Abstract: 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.Type: GrantFiled: March 6, 2018Date of Patent: March 9, 2021Assignee: AdviNow, Inc.Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal
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Publication number: 20190279768Abstract: 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.Type: ApplicationFiled: March 6, 2018Publication date: September 12, 2019Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal
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Publication number: 20190274523Abstract: 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.Type: ApplicationFiled: March 6, 2018Publication date: September 12, 2019Inventors: James Stewart Bates, Kristopher Perry, Chaitanya Prakash Potaraju, Pranav Bhatkal, Aditya Shirvalkar, Tristan Royal