Medical digital human generation method and device, electronic equipment and storage medium

Abstract

The invention discloses a medical digital person generation method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the main technical scheme comprises the following steps: obtaining a control instruction, and calling a corresponding medical digital person according to the control instruction; wherein different medical digital persons correspond to different medical fields; collecting user health information based on the medical digital person; generating a health prediction report according to the user health information; an interaction with a user is performed based on the medical digital human and the health prediction report. Compared with the prior art, according to the embodiment of the invention, through a medical digital human technology, a patient can conveniently obtain expert knowledge and timely obtain a health prediction report, and early disease prevention and management are promoted. The interactive medical mode is beneficial to reducing the medical communication cost, improving the medical popularity rate and saving the time cost of medical experts.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a method and device for generating a medical digital human, an electronic device, and a storage medium. Background Art

[0002] Under the DRG / DIP payment model, disease diagnosis and treatment are grouped or converted into scores through big data methods, and a "one-price" package payment is implemented, and the payment standard is determined through packaging. Under the package payment model, how to better create value for patients while reducing costs is the direction that the medical industry should strive to pursue.

[0003] At present, when patients discover health problems, they go to the outpatient clinic for treatment, undergo examinations and tests to make a clear diagnosis of the disease, formulate a preliminary treatment plan, be hospitalized, receive inpatient treatment, and undergo regular checkups and follow-ups after hospitalization. All problems in the medical process are solved one-on-one between doctors and patients, which has high communication costs, low efficiency of one-on-one communication between doctors and patients, and repetitive work takes up too much of doctors' time. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for generating a medical digital human, which is mainly aimed at solving the problem of low efficiency of one-to-one communication between doctors and patients and repetitive work taking up too much time of doctors.

[0005] According to a first aspect of the present disclosure, a method for generating a medical digital human is provided, comprising:

[0006] Obtaining a control instruction, and calling a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields;

[0007] Collecting user health information based on the medical digital human;

[0008] Generate a health prediction report based on the user health information;

[0009] Interaction with the user is performed based on the medical digital human and the health prediction report.

[0010] Optionally, before obtaining the control instruction and calling the corresponding medical digital human according to the control instruction, the method further includes:

[0011] Obtain the target user's physical appearance data and audio features;

[0012] Based on the physical appearance data and the audio data, a personalized medical digital human corresponding to the target user is generated.

[0013] Optionally, the collecting of user health information based on the medical digital human includes:

[0014] Collect users' living habits and medical history information based on conversation;

[0015] And / or obtain the user's medical examination report.

[0016] Optionally, after generating a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data, the method further includes:

[0017] A data connection is established between the personalized medical digital human and a preset database, so that when the personalized medical digital human receives the user health information, it generates a health prediction report based on the preset database.

[0018] Optionally, the interaction with the user based on the medical digital human and the health prediction report further includes:

[0019] According to the living habits and medical history information collected in the conversational way, voice conversation content is generated and broadcasted through the medical digital human to achieve real-time interaction.

[0020] According to a second aspect of the present disclosure, a device for generating a medical digital human is provided, comprising:

[0021] A first acquisition unit is used to acquire a control instruction and call a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields;

[0022] A collection unit, used for collecting user health information based on the medical digital human;

[0023] A first generating unit, configured to generate a health prediction report according to the user health information;

[0024] An interaction unit is used to interact with a user based on the medical digital human and the health prediction report.

[0025] Optionally, the device further comprises:

[0026] A second acquisition unit is used to acquire the control instruction from the first acquisition unit, and call the corresponding medical digital human according to the control instruction to acquire the physical appearance data and audio features of the target user;

[0027] The second generating unit is used to generate a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data.

[0028] Optionally, the acquisition unit is further used for:

[0029] Collect users' living habits and medical history information based on conversation;

[0030] And / or obtain the user's medical examination report.

[0031] Optionally, the device further includes:

[0032] An establishing unit is used to establish a data connection between the personalized medical digital human and a preset database after the second generating unit generates the personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data, so that when the personalized medical digital human receives the user health information, it generates a health prediction report based on the preset database.

[0033] Optionally, the interaction unit is further used for:

[0034] According to the living habits and medical history information collected in the conversational way, voice conversation content is generated and broadcasted through the medical digital human to achieve real-time interaction.

[0035] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0036] at least one processor; and

[0037] a memory communicatively connected to the at least one processor; wherein,

[0038] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0039] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0040] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0041] The present disclosure provides a method, device, electronic device and storage medium for generating a medical digital human, and the main technical solutions include: obtaining a control instruction, and calling the corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields; collecting user health information based on the medical digital human; generating a health prediction report based on the user health information; and performing interaction with the user based on the medical digital human and the health prediction report. Compared with related technologies, the embodiments of the present application use medical digital human technology to enable patients to easily obtain expert knowledge, obtain health prediction reports in a timely manner, and promote early disease prevention and management. This interactive medical model helps to reduce medical communication costs, increase medical popularization, and save the time cost of medical experts.

[0042] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0044] Figure 1 A schematic diagram of a flow chart of a method for generating a medical digital human provided by an embodiment of the present disclosure;

[0045] Figure 2 A schematic diagram of a flow chart of a method for generating a medical digital human provided by an embodiment of the present disclosure;

[0046] Figure 3 A schematic diagram of the structure of a device for generating a medical digital human provided by an embodiment of the present disclosure;

[0047] Figure 4 A schematic diagram of the structure of a device for generating a medical digital human provided by an embodiment of the present disclosure;

[0048] Figure 5 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0049] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0050] The following describes the method, device, electronic device and storage medium for generating a medical digital human according to the embodiments of the present disclosure with reference to the accompanying drawings.

[0051] Figure 1 A schematic diagram of a flow chart of a method for generating a medical digital human provided in an embodiment of the present disclosure.

[0052] like Figure 1 As shown, the method comprises the following steps:

[0053] Step 101, obtain control instructions, and call the corresponding medical digital human according to the control instructions; wherein different medical digital humans correspond to different medical fields.

[0054] To achieve this function, a mapping relationship between a control instruction and a medical digital human can be used. Assuming the control instruction is 'C', different medical digital humans correspond to different medical fields, and the following mapping can be defined:

[0055] The control command corresponding to Medical Digital Human 1 is ‘C1’, which is responsible for the field of internal medicine;

[0056] The control command corresponding to Medical Digital Human 2 is ‘C2’, which is responsible for the surgical field;

[0057] The control command corresponding to Medical Digital Human 3 is 'C3', which is responsible for the pediatric field.

[0058] In some embodiments, the control instructions may also be in other forms, such as a voice command from the patient, such as "I want to see the internal medicine department", which will call up the medical digital human corresponding to the internal medicine department; the patient may also issue a control instruction in the form of a button to determine the corresponding medical digital human. Specifically, the embodiments of the present application do not limit this.

[0059] Step 102: Collect user health information based on the medical digital human.

[0060] Based on the medical digital human, an interactive interface can be designed to collect the user's health information; the patient can provide relevant information by talking to the medical digital human or filling out a form, for the medical digital human to perform subsequent analysis and processing.

[0061] For example, the medical digital human can ask users about their basic health conditions, symptoms, lifestyle habits, and other information, and store this information in a database. The medical digital human can also provide advice, develop health plans, or recommend medical treatment based on the information provided by the user.

[0062] In specific implementation, an interactive interface can be designed to allow users to communicate with medical digital humans and collect health information based on the user's answers. Medical digital humans can use natural language processing technology to understand the information input by users and process and analyze the information according to pre-set rules and algorithms.

[0063] Step 103: Generate a health prediction report based on the user health information.

[0064] In some embodiments, a health prediction model can be pre-trained, and a machine learning algorithm or a deep learning model can be used to make predictions based on the user's health information. The model can make predictions based on different health indicators and disease risk factors.

[0065] Based on the output results of the model, a health prediction report for the user is generated, including information such as the user's current health status, potential health risks, and recommended health improvement measures.

[0066] Step 104: interact with the user based on the medical digital human and the health prediction report.

[0067] In some embodiments, in the user interaction interface, the medical digital human can explain the content of the health prediction report, help the user understand his or her health status and possible risk factors, and provide the user with personalized health advice and improvement measures based on the results of the health prediction report, such as dietary advice, exercise plans, etc.

[0068] In some embodiments, the patient can also ask the medical digital human questions about the content of the health prediction report, and the medical digital human can answer the patient's questions and provide further explanation through a dialogue.

[0069] Furthermore, medical digital humans can work with patients to develop health improvement plans, including setting goals, making plans, and tracking progress.

[0070] The method for generating a medical digital human provided by the present disclosure mainly includes the following technical solutions: obtaining a control instruction, and calling a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields; collecting user health information based on the medical digital human; generating a health prediction report according to the user health information; and performing interaction with the user based on the medical digital human and the health prediction report. Compared with related technologies, the embodiment of the present application uses medical digital human technology to enable patients to easily obtain expert knowledge, obtain health prediction reports in a timely manner, and promote early disease prevention and management. This interactive medical model helps to reduce medical communication costs, increase medical popularization, and save the time cost of medical experts.

[0071] See also Figure 2 , Figure 2A schematic diagram of a process for generating a medical digital human provided by an embodiment of the present disclosure is shown in FIG. Figure 2 As shown, including:

[0072] Step 105, obtaining the target user's physical appearance data and audio features.

[0073] Obtaining the physical data and audio features of the target user can provide more information for personalized health prediction and interactive systems. Physical data can include body indicators such as height, weight, and body fat percentage, while audio features can include information on voice features and emotion recognition. The target user can be a medical expert in various medical fields, making the generated medical digital human image more convincing.

[0074] In some embodiments, the user's weight, body fat percentage and other data can be obtained through smart health devices such as smart weight scales, body fat scales, etc.; the user's height, body shape, facial features and other information can be obtained using cameras and image recognition technology.

[0075] In some embodiments, a microphone and speech recognition technology may be used to obtain the user's voice features, such as pitch, speaking speed, voice emotion, etc., and emotion recognition technology may be used to analyze the user's voice and identify the user's emotional state and emotional tendencies.

[0076] By analyzing the user's voice emotions and emotional state, the system can provide an interactive experience that is closer to the user's emotional state, such as providing emotional support or encouragement.

[0077] Step 106: Generate a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data.

[0078] Generate a personalized medical digital human based on the target user's physical appearance data and audio data. In some embodiments, the specific implementation method of generating a personalized medical digital human based on the target user's body hair data and audio data can refer to any implementation method in the prior art, and the embodiments of this application will not be described one by one here.

[0079] In some embodiments, an interactive interface can also be designed to allow users to communicate and interact with personalized medical digital people.

[0080] By generating personalized medical digital people, users can obtain health management services that are more closely aligned with their personal needs and health conditions, enhance health awareness, improve health conditions, and better cope with emotional stress.

[0081] In some embodiments, after the image of the medical digital human is generated, the IP copyright of the medical digital human can be generated to support creation and transactions, further expanding the influence of the IP.

[0082] Step 101, obtaining a control instruction, and calling a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields;

[0083] Step 102, collecting user health information based on the medical digital human;

[0084] Step 103, generating a health prediction report according to the user health information;

[0085] Step 104: interact with the user based on the medical digital human and the health prediction report.

[0086] For the detailed implementation process of steps 101 to 104, please refer to any implementation method in the prior art, and the embodiments of the present application will not be described one by one here.

[0087] In some embodiments, when collecting user health information, the user's living habits and medical history information can be collected on a conversational basis; and / or the user's physical examination report can be obtained.

[0088] Through conversational interaction, the system can ask users about their living habits, eating habits, exercise, sleep quality, etc. Patients can provide information through voice answers or text input, and the system can automatically recognize and integrate this data. Patients can provide personal medical history information through conversational interaction, including previous illnesses, family medical history, drug allergies, etc. This information can help the system better understand the user's health status and risk factors.

[0089] - Users can directly upload or input physical examination report data, including data on physiological indicators such as blood pressure, blood sugar, and blood lipids. The system can also be integrated and connected with health record data to obtain the user's physical examination report data.

[0090] By analyzing this data and combining it with the user's lifestyle and medical history information, we provide users with personalized health assessments and recommendations. We generate personalized health reports to guide users to improve their lifestyles, prevent diseases, etc.

[0091] Patients can also get personalized services such as health advice and customized health plans through conversational interactions.

[0092] By integrating lifestyle habits, medical history information, and physical examination report data, personalized medical digital humans can have a more comprehensive understanding of the user's health status and provide more personalized and effective health management services.

[0093] Optionally, after generating a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data, the method further includes:

[0094] A data connection is established between the personalized medical digital human and a preset database, so that when the personalized medical digital human receives the user health information, it generates a health prediction report based on the preset database.

[0095] In some embodiments, the preset database contains medical atlases, and is continuously optimized and iterated through continuous clinical data and real-life patient data verification, serving as data support for medical data people.

[0096] In some embodiments, performing interaction with the user based on the medical digital human and the health prediction report also includes: generating voice dialogue content according to the living habits and medical history information collected in the conversational manner, and broadcasting it through the medical digital human to achieve real-time interaction.

[0097] In some embodiments, the application scenario can be face-to-face communication between an offline medical robot and a patient. Face-to-face question-and-answer sessions and popular health knowledge can be conducted online through live broadcast. Specifically, the embodiments of the present application are not limited to this.

[0098] Through the generation and real-time broadcast of voice conversation content, personalized medical digital people can be closer to user needs and provide more personalized and intuitive health management services. This real-time interaction method can enhance user participation and convenience.

[0099] In some embodiments, based on the analysis and calculation of historical medical data, the value of the medical services provided by the medical digital human can be analyzed, and the medical services provided by the medical digital human can be separately priced as part of the multi-level payment system, and a separate DRG or DIP payment amount can be set.

[0100] Corresponding to the above-mentioned method for generating a medical digital human, the present invention also provides a device for generating a medical digital human. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be described in detail in the present invention.

[0101] Figure 3 A schematic diagram of the structure of a device for generating a medical digital human provided by an embodiment of the present disclosure, such as Figure 3 As shown, including:

[0102] A first acquisition unit 21 is used to acquire a control instruction and call a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields;

[0103] A collection unit 22, used for collecting user health information based on the medical digital human;

[0104] A first generating unit 23, configured to generate a health prediction report according to the user health information;

[0105] The interaction unit 24 is used to interact with the user based on the medical digital human and the health prediction report.

[0106] The device for generating a medical digital human provided by the present disclosure has the following main technical solutions: obtaining control instructions, and calling the corresponding medical digital human according to the control instructions; wherein different medical digital humans correspond to different medical fields; collecting user health information based on the medical digital human; generating a health prediction report based on the user health information; and performing interaction with the user based on the medical digital human and the health prediction report. Compared with related technologies, the embodiments of the present application use medical digital human technology to enable patients to easily obtain expert knowledge, obtain health prediction reports in a timely manner, and promote early disease prevention and management. This interactive medical model helps to reduce medical communication costs, increase medical popularization, and save the time cost of medical experts.

[0107] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the device also includes:

[0108] The second acquisition unit 25 is used to acquire the control instruction from the first acquisition unit, and acquire the body shape data and audio features of the target user before calling the corresponding medical digital human according to the control instruction;

[0109] The second generating unit 26 is used to generate a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data.

[0110] Furthermore, in a possible implementation of the embodiment of the present disclosure, the collection unit 22 is further configured to:

[0111] Collect users' living habits and medical history information based on conversation;

[0112] And / or obtain the user's medical examination report.

[0113] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the device also includes:

[0114] An establishing unit 27 is used for establishing a data connection between the personalized medical digital human and a preset database after the second generating unit 26 generates the personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data, so that when the personalized medical digital human receives the user health information, it can generate a health prediction report based on the preset database.

[0115] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the interaction unit 24 is also used for:

[0116] According to the living habits and medical history information collected in the conversational way, voice conversation content is generated and broadcasted through the medical digital human to achieve real-time interaction.

[0117] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0118] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0119] Figure 5 A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0120] like Figure 5 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0121] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0122] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as a method for generating a medical digital human. For example, in some embodiments, the method for generating a medical digital human may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the aforementioned method for generating a medical digital human in any other appropriate manner (for example, by means of firmware).

[0123] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0124] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0125] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0126] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0127] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0128] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0129] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0130] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0131] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for generating medical digital human, It is characterized in that include: Obtaining a control instruction, and calling a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields; Collecting user health information based on the medical digital human; Generate a health prediction report based on the user health information; Interaction with the user is performed based on the medical digital human and the health prediction report.

2. The method according to claim 1, It is characterized in that Before obtaining the control instruction and calling the corresponding medical digital human according to the control instruction, the method further includes: Obtain the target user's physical appearance data and audio features; Based on the physical appearance data and the audio data, a personalized medical digital human corresponding to the target user is generated.

3. The method according to claim 1, It is characterized in that The collecting of user health information based on the medical digital human comprises: Collect users' living habits and medical history information based on conversation; And / or obtain the user's medical examination report.

4. The method according to claim 2, It is characterized in that After generating a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data, the method further includes: A data connection is established between the personalized medical digital human and a preset database, so that when the personalized medical digital human receives the user health information, it generates a health prediction report based on the preset database.

5. The method according to claim 3, It is characterized in that The interaction with the user based on the medical digital human and the health prediction report also includes: According to the living habits and medical history information collected in the conversational way, voice conversation content is generated and broadcasted through the medical digital human to achieve real-time interaction.

6. A device for generating medical digital human, It is characterized in that include: A first acquisition unit is used to acquire a control instruction and call a corresponding medical digital human according to the control instruction; wherein different medical digital humans correspond to different medical fields; A collection unit, used for collecting user health information based on the medical digital human; A first generating unit, configured to generate a health prediction report according to the user health information; An interaction unit is used to interact with a user based on the medical digital human and the health prediction report.

7. The device according to claim 6, It is characterized in that The device also includes: A second acquisition unit is used to acquire the control instruction from the first acquisition unit, and call the corresponding medical digital human to acquire the physical appearance data and audio features of the target user according to the control instruction; The second generating unit is used to generate a personalized medical digital human corresponding to the target user based on the physical appearance data and the audio data.

8. An electronic device, It is characterized in that include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium storing computer instructions, It is characterized in that The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

10. A computer program product, It is characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.

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