Device for home diagnostics of diseases

Abstract

Device for the home diagnosis of illnesses, characterized in that the devices (2) for measurement and / or control can be connected to the hardware device (1), the hardware device (1) contains a processor (3) with an app for processing the data also from the connectable devices (2), the hardware device (1) is connected to the neural network (NS), to which a block (AI) for supporting the processing of results and for making the diagnosis by artificial intelligence is connected, at least one medical block (L) for communication with a general practitioner or a specialist is also connected to the neural network (NS), a pharmaceutical block (F) for communication with a pharmacist is also connected to the neural network (NS).

Description

field of technology

[0001] The invention relates to a device for home diagnosis of diseases, which is supported by further telephone diagnosis with a doctor or with a medical staff member or with a pharmacist and / or by a video call with a doctor or with a medical staff member or with a pharmacist. State of the art

[0002] Today, lay patients must make decisions about whether their symptoms, or those of their child, are severe enough to warrant medical attention. Without objective empirical data and basic diagnostics, they must rely on their own subjective feelings or descriptions of their child's feelings. Patients have the option of using a traditional analog or digital stethoscope to listen to their own breathing or their child's breathing, to examine their child's throat or ears with the naked eye, or to examine their own with a mirror. However, without several years of medical study and subsequent practical experience, they cannot even begin to make a possible diagnosis and subsequently determine an appropriate course of action.In the interest of caution, the user or their child usually ends up in a general practitioner's office or emergency room, even when such a visit is unnecessary. During the COVID-19 pandemic, in-person visits to hospitals and healthcare facilities began to be avoided, and patients began to use telephone consultations. After taking their temperature and undergoing a COVID-19 test, the patient contacted the doctor by phone and described other signs and symptoms they had experienced during the course of the illness. Based on these results, the doctor attempted to make a diagnosis and guide the patient on treatment, prescribing medication. In cases of doubt, when the doctor could not determine the diagnosis based on the verbal description of the symptoms and illness, the patient had to see the doctor in person.The disadvantage of the above was that in a number of cases a personal visit to the doctor was necessary, where the doctor, through additional examinations such as an auscultatory respiratory and cardiac examination or a visual examination of the oral cavity, obtained the data necessary to make the diagnosis and determine the correct treatment. Essence of the technical solution

[0003] The deficiencies described in the prior art are remedied by an invention defined in the claims submitted, the essence of which is that devices for measuring and / or controlling and / or recording sound (for example, a digital stethoscope, a digital thermometer, a digital blood pressure monitor, a digital oximeter, a camera for examining the throat (oral cavity), the ear (as a hearing organ), the eye, a camera for skin examination, a CRP test, or a spectrometer (hereinafter referred to as "devices")) can be connected to the hardware device, which may be a computer or a portable device, a laptop, a mobile smartphone, or a tablet, whereby the data obtained and / or recorded by these devices are inserted into the neural network by means of a dedicated app.in which their evaluation is carried out and the user is provided with a list of potential diagnoses, ordered by probability.

[0004] The user downloads an app and creates their own profile, a profile for their children, or a relative. Basic information such as age, gender, approximate weight, and height are entered into each profile within the app. The app provides instructions for pairing devices and correct device use to obtain the data needed to make a diagnosis. Using the paired devices, the user then collects the necessary data. For example, they use a digital stethoscope to record breathing sounds, heartbeat, or peristalsis. They use a camera to acquire images of the oral cavity, ears, eyes, or moles. A thermometer, a blood pressure monitor, and a pulse oximeter are used to collect data on the parameters recorded by these devices (body temperature, blood pressure, and blood oxygen saturation).

[0005] Once a sufficient amount of data to be monitored has been obtained, the user sends it via the app to the neural network, which converts audio recordings from sound to image and then evaluates the individual data and determines which category the data falls into. The same procedure, except for the image transfer, is used for both image data and data expressed as physical quantities (temperature, pressure, saturation). The artificial intelligence classifies the samples into two main categories: physiological and pathological. In the case of pathological samples, the artificial intelligence can classify them into individual subcategories. For example, in the case of breath samples, these could be crunching, wheezing, or creaking. For samples from the oral cavity, this could be, for example, a reddened or swollen throat, or a throat with a clot.

[0006] The app simultaneously allows the user to chat with artificial intelligence, where the user lists all of their difficulties, and the artificial intelligence asks them additional questions about any difficulties they may have forgotten. Alternatively, the chat can be replaced by a direct conversation with the app, where the user can select an avatar of a medical professional and, using speech-to-text technology, dictate their difficulties instead of writing. Using the selected avatar, the app uses text-to-speech technology to aloud additional questions about any difficulties the user may have forgotten, allowing them to add to them.

[0007] After processing all the data (audio, visual, written, or verbal), the app uses artificial intelligence to evaluate it in a contextual manner and compiles a list of diagnoses, which the app displays to the user in order of probability, with the most likely diagnoses at the top. Based on this list of diagnoses, the user can decide whether to visit a general practitioner (or emergency room), who will conduct their own examination and determine the treatment and further course of action, or decide that a visit to a medical facility is not necessary at this time.At the same time, the user has the option of sharing the processed data, along with its analysis and the resulting diagnosis, with their physician. This provides the physician with not only a subjective description of the user's difficulties, but also objectively processed data that would otherwise be required through examination in their own practice. Based on the data obtained in this way, the physician is able to diagnose the user more accurately and successfully, decide whether a personal visit is necessary, whether the patient agrees with the diagnosis made by the artificial intelligence, and decide on treatment and further action. Overview of the images on the drawings

[0008] The figure shows the block diagram of the device for home diagnostics of diseases. Examples of implementation

[0009] The device for home diagnosis of diseases is characterized in that the measurement and / or monitoring devices 2 can be connected to the hardware device 1, which can be a computer, laptop, mobile smartphone, or tablet. The measurement and / or monitoring devices 2 can be, for example, a thermometer, a stethoscope, a blood pressure monitor, an oximeter, a camera for throat (oral cavity), ear (as a hearing organ), and eye examination, a camera for skin examination, a CRP test, and a spectrometer.The devices 2 for measurement and / or control can be connected to the hardware device 1, the hardware device 1 contains the processor 3 with an app for processing the data also from the connectable devices 2, the hardware device 1 is connected to the neural network NS, to which a block AI is connected to support the processing of results and to make the diagnosis using artificial intelligence, at least one medical block L is also connected to the neural network NS for communication with a general practitioner or a specialist, and a pharmaceutical block F is also connected to the neural network NS for communication with a pharmacist.

[0010] The user downloads an app and creates their own profile, a profile for their children, or a relative. Basic information such as age, gender, approximate weight, and height are entered into the app for each profile. The app provides instructions for pairing with the devices and instructions for correct device use to obtain the data needed to make a diagnosis. Using the paired devices, the user then collects the necessary data. For example, they use a digital stethoscope to record breathing sounds, heartbeat, or peristalsis. They use a camera to acquire images of the oral cavity, ears, eyes, or moles. A thermometer, a blood pressure monitor, and a pulse oximeter are used to collect data on the parameters recorded by these devices (body temperature, blood pressure, and blood oxygen saturation).

[0011] Once a sufficient amount of data to be monitored has been obtained, the user sends it via the app to the neural network, which converts audio recordings from sound to image and then evaluates the individual data and determines which category the data falls into. The same procedure, except for the image transfer, is used for both image data and data expressed as physical quantities (temperature, pressure, saturation). The artificial intelligence classifies the samples into two main categories: physiological and pathological. In the case of pathological samples, the artificial intelligence can classify them into individual subcategories. For example, in the case of breath samples, these could be crunching, wheezing, or creaking. For samples from the oral cavity, this could be, for example, a reddened or swollen throat, or a throat with a clot.

[0012] The app simultaneously allows the user to chat with artificial intelligence, where the user lists all of their difficulties, and the artificial intelligence asks them additional questions about any difficulties they may have forgotten. Alternatively, the chat can be replaced by a direct conversation with the app, where the user can select an avatar of a medical professional and, using speech-to-text technology, dictate their difficulties instead of writing. Using the selected avatar, the app uses text-to-speech technology to aloud additional questions about any difficulties the user may have forgotten, allowing them to add to them.

[0013] After processing all the data (audio, visual, written, or verbal), the app uses artificial intelligence to evaluate it in a contextual manner and compiles a list of diagnoses, which the app displays to the user in order of probability, with the most likely diagnoses at the top. Based on this list of diagnoses, the user can decide whether to visit a general practitioner (or emergency room) who will conduct their own examination and determine the treatment and further course of action, or decide that a visit to a medical facility is not necessary at this time.At the same time, the user has the option of sharing the processed data, along with its analysis and the resulting diagnosis, with their physician. This provides the physician with not only a subjective description of the user's difficulties, but also objectively processed data that would otherwise be required through examination in their own practice. Based on the data obtained in this way, the physician is able to diagnose the user more accurately and successfully, decide whether a personal visit is necessary, whether the patient agrees with the diagnosis made by the artificial intelligence, and decide on treatment and further action.

[0014] Accordingly, the devices (2) for measurement and / or control can be connected to the hardware device (1), the hardware device (1) contains a processor (3) with an app for processing the data also from the connectable devices (2), the hardware device (1) is connected to the neural network (NS), to which a block (AI) is connected to support the processing of results and to make the diagnosis using artificial intelligence, at least one medical block (L) for communication with a general practitioner or a specialist is also connected to the neural network (NS), and a pharmaceutical block (F) for communication with a pharmacist is also connected to the neural network (NS).

Claims

[1] Device for home diagnosis of diseases, characterized by that the devices (2) for measurement and / or control can be connected to the hardware device (1), the hardware device (1) contains a processor (3) with an app for processing the data also from the connectable devices (2), the hardware device (1) is connected to the neural network (NS), to which a block (AI) for supporting the processing of results and for making the diagnosis by artificial intelligence is connected, at least one medical block (L) for communication with a general practitioner or a specialist is also connected to the neural network (NS), a pharmaceutical block (F) for communication with a pharmacist is also connected to the neural network (NS). [2] Device for home diagnosis of diseases according to claim 1, characterized by that the hardware device (1) is a computer, a laptop, a mobile smartphone or a tablet. [3] Device for home diagnosis of diseases according to claim 1 and / or 2, characterized by that the devices (2) for measuring and / or checking are a thermometer, a phonendoscope, a blood pressure monitor, an oximeter, a camera for throat, ear and eye examination, a camera for skin examination, a CRP test and a spectrometer.

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