Medical large health family AI robot

Abstract

The invention discloses a medical large health family AI robot, and relates to the technical field of AI robots, the medical large health family AI robot comprises a detector main body, a sound box, a display screen and an interface port, corresponding service functions can be provided according to the requirements of family members, daily body health index measurement and family doctor scheme providing are provided, and the service functions are provided. A medical scheme or an online medical service is provided; according to the invention, data analysis can be carried out through health data and seasons throughout the year, and a higher-quality strategy is provided for each family member in daily health service, so that body health indexes, living environment air indexes and body and mind indexes of facial expressions of the family members can be monitored in real time, and the health level of the whole people can be improved by matching with a reasonable medical care scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of AI robots, and particularly to a medical and health home AI robot. Background Art

[0002] In recent years, as a high-tech, robot technology has gradually penetrated into all aspects of our lives, from production workshops to hospitals, and may involve every family in the future. Therefore, the role played by robots is inestimable. Traditional industrial robots are suitable for structured environments to complete repetitive tasks, while modern robots can cooperate with humans in the same unstructured space and environment to complete non-deterministic tasks in real time online.

[0003] In today's society, common diseases occur frequently among the public, and the frequency of people seeking medical treatment increases. In hospitals, there are a large number of patients, and the waiting time for patients is long. Among the numerous patients, there are patients with mild conditions, such as those with colds and fevers. Moreover, cross-infection of viruses easily occurs among the numerous patients, leading to the aggravation of the conditions of patients with mild conditions. In order to improve the detection and prevention effects of the sub-healthy state of the elderly at home, the present invention proposes a medical and health home AI robot. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides a medical and health home AI robot, which solves the problems raised in the background art.

[0005] To achieve the above object, the present invention is realized through the following technical solutions: A medical and health home AI robot includes a detector main body, a speaker, a display screen, and an interface port. On the front side of one side of the detector main body, a robot left hand and a robot right hand are respectively installed. The connection ends between the robot left hand and the robot right hand and the detector main body are rotationally connected. A speaker is installed on the surface of the detector main body for outputting voice feedback and notifications.

[0006] A box cover is provided on the top of the detector main body. One end of the bottom of the box cover is rotationally connected to the detector main body, and a display screen is embedded inside the box cover for displaying information and interacting with users. The display screen is connected to the CPU inside the detector main body through computer signals. An interface port is provided at the front end of the upper surface of the detector main body, and the interface port is used to connect external devices or for charging.

[0007] Preferably, a face expression recognition camera is provided at one end of the top of the display screen for capturing and analyzing the expressions of users. A microphone hole is provided on one side of the face expression recognition camera, and the microphone hole is used to receive voice commands from users. An LED indicator is provided on the surface at one end of the bottom of the display screen for indicating the working state of the robot.

[0008] Preferably, a keyboard and a touch sensing area are provided on the surface of the detector main body, and both the keyboard and the touch sensing area are used for non-verbal user interaction.

[0009] Preferably, a blood pressure measuring device is provided inside the left hand of the robot. The blood pressure measuring device includes at least one pressure sensor for real-time monitoring and recording of the user's blood pressure data, and the pressure sensor is connected to the CPU inside the detector main body by computer signals for the collection and analysis of blood pressure data.

[0010] Preferably, a blood glucose measuring device is provided inside the right hand of the robot. The blood glucose measuring device includes a blood collection needle and a blood glucose test strip reader for measuring the user's blood glucose level, and the blood collection needle and the blood glucose test strip reader are connected to the CPU inside the detector main body by computer signals for the collection and analysis of blood glucose data.

[0011] Preferably, the inside of the detector main body includes a medical plan database system, a communication module, an intelligent recognition module, and a medical analysis module;

[0012] The medical plan database system: is used for storing and retrieving a large number of medical plans to match and provide personalized medical advice and treatment plans for users;

[0013] The communication module: is used to achieve wireless and wired communication between the robot and external devices or networks for data exchange and remote monitoring;

[0014] The intelligent recognition module: is used to identify the user's identity and monitor the health status to provide customized services and medical advice;

[0015] The medical analysis module: is used to analyze the user's medical data, provide diagnostic results and treatment suggestions, and assist in medical decision-making.

[0016] Preferably, the medical plan database system inside the detector main body includes a storage medium and a retrieval algorithm for storing and retrieving medical plans, and the storage medium and the retrieval algorithm are connected to the CPU by computer signals to provide personalized medical advice.

[0017] Preferably, the communication module inside the detector main body includes a wireless communication chip and a wired communication interface for achieving wireless and wired communication. The communication module is connected to the CPU by computer signals for data exchange with external devices or networks.

[0018] Preferably, the intelligent recognition module inside the detector main body includes at least one biometric sensor and an identity verification algorithm for identifying the user's identity and health status. The intelligent recognition module is connected to the CPU by computer signals for personalized user services.

[0019] Preferably, the medical analysis module inside the detector main body includes a medical data processing algorithm and a diagnosis suggestion generator for analyzing the user's medical data. The medical analysis module is connected to the CPU computer signal to provide diagnosis results and treatment suggestions. The medical analysis module includes the following key component modules:

[0020] a. Data acquisition module: used to collect the user's physiological and health data from various built-in and external medical sensors;

[0021] b. Feature extraction module: used to identify and extract key health indicators and patterns from the collected data;

[0022] c. Machine learning module: used to train and deploy machine learning algorithms to identify disease patterns and predict health risks;

[0023] d. Diagnostic logic module: contains a series of rules and logics based on medical knowledge to assist the diagnostic process;

[0024] e. Suggestion generation module: based on the analysis results, generate personalized treatment and health management suggestions.

[0025] The present invention provides a medical and health family AI robot, which has the following beneficial effects:

[0026] (1). For this medical and health family AI robot of the present invention, corresponding service functions can be provided according to the needs of family members, including providing daily physical health index measurement and family doctor plan, and providing medical plans or online medical services; data analysis can be carried out through long-term health data and seasons, providing better strategies for each family member's daily health services, so as to not only monitor the physical health indicators of family members, air indicators of the living environment, and physical and mental indicators of facial expressions in real time, but also improve the health level of the whole people by matching reasonable medical care plans.

[0027] (2). For this medical and health family AI robot of the present invention, functions such as health monitoring, medical assistance, and health management are realized through artificial intelligence technology. Information such as human physiological parameters and exercise data are collected through sensors, and then analyzed and judged through algorithms to provide personalized health management services for family members; compared with traditional medical devices, the family artificial intelligence health robot is more intelligent, convenient, and personalized; the functions of the family doctor robot include health monitoring and health management; the health monitoring function mainly collects information such as human physiological parameters and exercise data through sensors, monitors and records the physical state in real time, and gives corresponding suggestions and reminders; the health management function provides health management and lifestyle suggestions for users through personalized algorithms and models.

[0028] (3) Compared with traditional health management methods, this medical and health family AI robot has some obvious advantages. It can monitor and record individuals' health data in real time, analyze and judge through algorithms, and provide personalized health management services, which better meet users' needs. The family doctor robot can provide health management and health consultation services anytime and anywhere, which is convenient and fast. The family doctor robot can improve medical efficiency and accuracy, and assist doctors in diagnosis and treatment. With the continuous progress of artificial intelligence technology, the family doctor robot will be more widely used in the future. It will become an important tool for family health management, providing personalized health services for people. At the same time, it is necessary to pay attention to and solve relevant privacy and security issues to ensure the normal operation of the robot and the security of data. In the near future, the family doctor robot will become an important part of people's lives.

[0029] (4) This medical and health family AI robot integrates multiple technologies such as artificial intelligence, medical technology, and the Internet of Things, realizing multiple functions such as remote diagnosis and treatment, health management, and automatic diagnosis. Compared with traditional medical services, the family intelligent doctor robot is more efficient, convenient, and personalized, providing patients with a brand-new medical experience. The market potential of the family doctor robot is huge, and it is expected to experience explosive growth in the next few years. With the increasing prominence of issues such as population aging and tight medical resources, the demand space for family doctor robots is huge. At the same time, national policies are also strongly supporting the development of the family doctor robot industry, providing a good policy environment for the industry. The family doctor robot solves the problem of tight medical resources and provides better-quality medical services for patients, with a strong sense of social responsibility. Participating in the family doctor robot project helps to enhance the enterprise's brand image and technical strength. The research and development and production of the family intelligent doctor robot require strong technical strength and a medical background. Only with these capabilities can high-quality, safe, and reliable family doctor robots be produced. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a schematic diagram of the overall structure of the present invention;

[0031] Figure 2 is a schematic side view structure diagram of the present invention;

[0032] Figure 3 is a schematic front view structure diagram of the present invention;

[0033] Figure 4 is the present invention Figure 3 an enlarged structure diagram of part A in;

[0034] Figure 5 is a schematic diagram of the system module of the present invention.

[0035] In the figure, 1 is the main body of the detector; 2 is the right hand of the robot; 3 is the left hand of the robot; 4 is the speaker; 5 is the box cover; 6 is the display screen; 7 is the interface port; 8 is the face expression recognition camera; 9 is the microphone hole; 10 is the LED indicator light; 11 is the touch sensing area; 12 is the keyboard. Specific implementation manners

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] Embodiment 1:

[0038] Please refer to Figures 1-5, an embodiment of the present invention provides a technical solution: a medical and health family AI robot, including a detector main body 1, a speaker 4, a display screen 6, and an interface port 7. On the front side of one side of the detector main body 1, a robot left hand 3 and a robot right hand 2 are respectively installed. The connection ends between the robot left hand 3 and the robot right hand 2 and the detector main body 1 are rotationally connected. A speaker 4 is installed on the surface of the detector main body 1 for outputting voice feedback and notifications; a lid 5 is provided at the top of the detector main body 1. One end of the bottom of the lid 5 is rotationally connected to the detector main body 1, and a display screen 6 is embedded inside the lid 5 for displaying information and user interaction. The display screen 6 is connected to the CPU inside the detector main body 1 by computer signals. An interface port 7 is provided at the front end of the upper surface of the detector main body 1. The interface port 7 is used to connect external devices or for charging; a face expression recognition camera 8 is provided at one end of the top of the display screen 6 for capturing and analyzing the user's expressions. A microphone hole 9 is provided on one side of the face expression recognition camera 8. The microphone hole 9 is used to receive the user's voice commands. An LED indicator 10 is provided on the surface at one end of the bottom of the display screen 6 for indicating the working state of the robot; a keyboard 12 and a touch sensing area 11 are provided on the surface of the detector main body 1. Both the keyboard 12 and the touch sensing area 11 are used for non-verbal user interaction; a blood pressure measuring device is provided inside the robot left hand 3. The blood pressure measuring device includes at least one pressure sensor for real-time monitoring and recording the user's blood pressure data, and the pressure sensor is connected to the CPU inside the detector main body 1 by computer signals to facilitate the collection and analysis of blood pressure data; a blood glucose measuring device is provided inside the robot right hand 2. The blood glucose measuring device includes a blood collection needle and a blood glucose test strip reader for measuring the user's blood glucose level, and the blood collection needle and the blood glucose test strip reader are connected to the CPU inside the detector main body 1 by computer signals to facilitate the collection and analysis of blood glucose data;

[0039] Among them, by integrating the blood pressure measuring device and the blood glucose measuring device, the real-time monitoring of the user's key physiological parameters is realized. At the same time, through various interaction methods such as the display screen 6, the face expression recognition camera 8, the microphone hole 9, and the LED indicator 10, the interaction experience between the user and the robot is greatly improved, enabling the user to directly obtain health consultations and medical advice without additional equipment or complex operations; in addition, the real-time data collection and analysis capabilities of the robot provide instant health feedback to the user, and the LED indicator 10 can quickly indicate the operating state of the robot in case of emergency, facilitating prompt action; the design of the interface port 7 not only facilitates the use and maintenance of the robot but also provides convenience for future function expansion; overall, through its innovative design, the present invention provides a comprehensive, convenient, and efficient home health management solution for users, helping to improve the user's quality of life and health level.

[0040] Example 2:

[0041] An embodiment of the present invention provides a technical solution: a medical and health family AI robot. The interior of the detector main body includes a medical solution database system, a communication module, an intelligent recognition module, and a medical analysis module. The medical solution database system is used to store and retrieve a large number of medical solutions so as to match and provide personalized medical advice and treatment plans for users. The communication module is used to achieve wireless and wired communication between the robot and external devices or networks for data exchange and remote monitoring. The intelligent recognition module is used to identify the user's identity and monitor the health status to provide customized services and medical advice. The medical analysis module is used to analyze the user's medical data, provide diagnostic results and treatment suggestions, and assist in medical decision-making. The medical solution database system inside the detector main body 1 includes a storage medium and a retrieval algorithm for storing and retrieving medical solutions, and the storage medium and the retrieval algorithm are connected to the CPU computer by a signal for providing personalized medical advice. The communication module inside the detector main body 1 includes a wireless communication chip and a wired communication interface for achieving wireless and wired communication. The communication module is connected to the CPU computer by a signal for data exchange with external devices or networks. The intelligent recognition module inside the detector main body 1 includes at least one biometric sensor and an authentication algorithm for identifying the user's identity and health status. The intelligent recognition module is connected to the CPU computer by a signal for personalized user services.

[0042] Among them, through the internally integrated medical solution database system, communication module, intelligent recognition module, and medical analysis module, a comprehensive home health management system is provided. The medical solution database system is equipped with a storage medium and a retrieval algorithm, capable of storing and retrieving a large number of medical solutions, matching personalized medical advice and treatment plans for users. The communication module includes a wireless communication chip and a wired communication interface to achieve communication between the robot and external devices or networks, facilitating data exchange and remote monitoring. The intelligent recognition module is equipped with at least one biometric sensor and an authentication algorithm for identifying the user's identity and monitoring the health status, providing customized services and medical advice. The medical analysis module analyzes the user's medical data, provides diagnostic results and treatment suggestions, and assists in medical decision-making. These modules are all connected to the CPU computer by a signal, ensuring the efficiency and accuracy of information processing, comprehensively improving the intelligent level of home health management, and providing a convenient, efficient, and personalized health management platform for users.

[0043] Example 3:

[0044] An embodiment of the present invention provides a technical solution: a medical and health family AI robot. The medical analysis module inside the detector main body 1 includes a medical data processing algorithm and a diagnosis suggestion generator, which are used to analyze the user's medical data. The medical analysis module is connected to the CPU computer by a signal to provide a diagnosis result and treatment suggestions; the medical analysis module includes the following key component modules: a. Data acquisition module: used to collect the user's physiological and health data from various built-in and external medical sensors; b. Feature extraction module: used to identify and extract key health indicators and patterns from the collected data; c. Machine learning module: used to train and deploy machine learning algorithms to identify disease patterns and predict health risks; d. Diagnosis logic module: contains a series of rules and logics based on medical knowledge to assist the diagnosis process; e. Suggestion generation module: based on the analysis results, generate personalized treatment and health management suggestions.

[0045] Among them, through the signal connection with the CPU computer, this module can provide accurate diagnosis results and treatment suggestions; this module consists of key component parts such as a data acquisition module, a feature extraction module, a machine learning module, a diagnosis logic module, and a suggestion generation module; the data acquisition module is responsible for collecting the user's physiological and health data from various built-in and external medical sensors, and the feature extraction module identifies and extracts key health indicators and patterns from these data; the machine learning module uses advanced algorithms to train and deploy models to identify disease patterns and predict health risks; the diagnosis logic module contains rules and logics based on medical knowledge to assist in the diagnosis process; finally, the suggestion generation module generates personalized treatment and health management suggestions for users according to the analysis results, comprehensively improving the intelligence and accuracy of family health management.

[0046] Example 4:

[0047] An embodiment of the present invention provides a technical solution: a medical and health family AI robot, an intelligent device integrating multiple technologies such as artificial intelligence, medical technology, and the Internet of Things, which can realize multiple functions such as remote diagnosis and treatment, health management, and automatic diagnosis. Through advanced technological means, this robot provides a more efficient, convenient, and personalized medical experience for patients.

[0048] The main functions of the family doctor robot include:

[0049] Health management: Provide a personalized health management plan through AI intelligent technology.

[0050] Remote diagnosis and treatment: Users can conduct remote consultations through the robot to obtain professional medical advice.

[0051] Automatic diagnosis: Based on advanced algorithms, analyze the user's health data and provide diagnosis results and treatment suggestions.

[0052] The application scenarios of the family doctor robot are very extensive, especially showing great potential in the following fields:

[0053] Home care for the elderly: Solve the problems of difficult access to medical treatment and taking medicine for the elderly, and remind them to take medicine through voice recognition technology.

[0054] Community health: Help community health service centers improve work efficiency and conduct health follow-up and disease screening.

[0055] Family health care: Provide 24-hour health management and consultation services for users, especially for those with limited mobility or far from medical institutions.

[0056] In terms of future development trends and market demands, the market prospect of the family doctor robot is broad. With the increasing prominence of issues such as population aging and tight medical resources, the demand space for family doctor robots is huge. At the same time, national policies are also strongly supporting the development of related industries, providing a good policy environment for the industry. Therefore, the family doctor robot project has huge market potential and high returns, and is a field with high-tech development prospects;

[0057] The family AI robot in this embodiment can manage 1 - 50 family members, including all health and medical health conditions of each person from birth to now. Factors such as prevention, health care, sub-health, consultation, diagnosis, treatment, medicine, medical equipment used, traditional Chinese medicine, genome sequencing, rehabilitation, psychology, exercise, diet, sleep, etc. will be docked and consulted through the medical artificial intelligence MedGPT family doctor robot and the medical metaverse brain robot center, and big data analysis will be carried out, and a comprehensive diagnosis and advice will be given on the health status of each family member, and reasonable suggestions on nutrition, diet, sleep, work, exercise, travel, psychology, health care, etc. will be put forward for each person;

[0058] Family members can talk to the family doctor robot and input their health data into the MedGPT family doctor robot in the way of voice input. The family doctor robot can understand 25 dialects (such as Cantonese, Fujian dialect, Shanghai dialect, Sichuan dialect, etc.), and comprehensively analyze the patient's symptoms and examination results to obtain the main diagnosis and differential diagnosis.

[0059] The family doctor robot also has a medical detection and alarm function for each empty-nester at home, timely detecting the functions of 30 organs, evaluating and analyzing the health status of each elderly person, and protecting the health and happiness of each elderly person and family member.

[0060] By building a grass-roots health science and innovation system for medical AI, the "Family Doctor Robot" can manage 1 to 50 family members, covering all their health and medical conditions from birth to the present. All factors, including prevention, health preservation, sub-health, consultation, diagnosis, treatment, medications, medical devices used, traditional Chinese medicine, genomic sequencing, rehabilitation, psychology, exercise, diet, sleep, etc., will be connected and consulted through the medical artificial intelligence MedGPT family doctor robot and the medical metaverse brain robot center, analyzed through big data, and a comprehensive diagnosis and advice will be given on the health status of each family member. Reasonable suggestions on nutrition, diet, sleep, work, exercise, travel, psychology, health care, etc. will be put forward for each person.

[0061] Family members can talk to the family doctor robot and input their health data into the MedGPT family doctor robot by voice input. The family doctor robot can understand 25 dialects (such as Cantonese, Fujian dialect, Shanghai dialect, Sichuan dialect, etc.), comprehensively analyze the patient's symptoms and examination results, and obtain the main diagnosis and differential diagnosis.

[0062] The family doctor robot also has medical detection and alarm functions for each empty-nest elderly person at home, timely detecting the functions of 30 organs, evaluating and analyzing the health status of each elderly person, and protecting the health and well-being of each elderly person and family member.

[0063] Example 5:

[0064] A method for designing the functions of a medical and health family doctor AI robot system. The robot system includes a system architecture class interface, functional units, a speech recognition module, a semantic analysis module, a message instruction module, an intelligent recognition module, a medical analysis module, a medical module group, a medical doctor module, a facial expression recognition module, and a communication module. The present invention can provide corresponding service functions according to the needs of family members, including providing daily physical health index measurement and family doctor solutions, and providing medical solutions or online medical services; it can analyze data based on long-term health data and seasons, and provide better strategies for the daily health services of each family member, so as to not only monitor the physical health indicators of family members, the air quality indicators of the living environment, and the physical and mental indicators of facial expressions in real time, but also improve the health level of the whole people by matching reasonable medical and health care plans.

[0065] The foregoing has shown and described the basic principles, main features and advantages of the present invention. For a person skilled in the art, it is obvious that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and without departing from the spirit or basic features of the present invention, the present invention can be implemented in other specific forms. Therefore, in whatever aspect, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced by the present invention. Any reference signs in the claims should not be construed as limiting the claims concerned.

[0066] In addition, it should be understood that although this specification is described according to the embodiments, not every embodiment only contains an independent technical solution. This narrative manner of the specification is only for clarity. A person skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by a person skilled in the art.

Claims

1. A medical health home AI robot, characterized by: The device comprises a detector body (1), a speaker (4), a display screen (6) and an interface port (7); a robot left hand (3) and a robot right hand (2) are respectively installed on the front side of one side of the detector body (1); the connection ends between the robot left hand (3) and the robot right hand (2) and the detector body (1) are rotatably connected; and a speaker (4) is installed on the surface of the detector body (1) for outputting voice feedback and notifications; A box cover (5) is arranged on the top of the detector body (1), one end of the bottom of the box cover (5) is rotatably connected to the detector body (1), and a display screen (6) is embedded inside the box cover (5) for displaying information and user interaction. The display screen (6) is connected to the CPU computer signal inside the detector body (1), and an interface port (7) is arranged on the front end of the upper surface of the detector body (1), and the interface port (7) is used to connect external devices or charge.

2. According to claim 1, a medical health home AI robot is characterized by: A facial expression recognition camera (8) is arranged at one end of the top of the display screen (6) for capturing and analyzing the user's expression; a microphone hole (9) is arranged at one side of the facial expression recognition camera (8) for receiving the user's voice command; and an LED indicator light (10) is arranged on the surface of one end of the bottom of the display screen (6) for displaying the working status of the robot.

3. According to claim 1, a medical health home AI robot is characterized by: A keyboard (12) and a touch sensing area (11) are provided on the surface of the detector body (1), and both the keyboard (12) and the touch sensing area (11) are used for non-voice user interaction.

4. According to claim 1, a medical health home AI robot is characterized by: A blood pressure measuring device is arranged inside the left hand (3) of the robot. The blood pressure measuring device includes at least one pressure sensor for real-time monitoring and recording of the user's blood pressure data. The pressure sensor is connected to the CPU computer signal inside the detector body (1) to facilitate the collection and analysis of blood pressure data.

5. According to claim 1, a medical health home AI robot is characterized by: The robot's right hand (2) is provided with a blood glucose measuring device, which includes a blood sampling needle and a blood glucose test strip reader for measuring the user's blood glucose level. The blood sampling needle and the blood glucose test strip reader are connected to the CPU computer signal inside the detector body (1) to facilitate the collection and analysis of blood glucose data.

6. According to claim 1, a medical health home AI robot is characterized by: The detector body (1) includes a medical solution database system, a communication module, an intelligent identification module, and a medical analysis module; The medical plan database system is used to store and retrieve a large number of medical plans so as to match and provide personalized medical advice and treatment plans for users; The communication module is used to realize wireless and wired communication between the robot and external devices or networks for data exchange and remote monitoring; The intelligent identification module is used to identify the user and monitor health conditions to provide customized services and medical advice; The medical analysis module is used to analyze the user's medical data, provide diagnosis results and treatment suggestions, and assist in medical decision-making.

7. According to claim 6, a medical health home AI robot is characterized by: The medical plan database system inside the detector body (1) includes a storage medium and a retrieval algorithm for storing and retrieving medical plans, and the storage medium and the retrieval algorithm are connected to the CPU computer signal to provide personalized medical advice.

8. According to claim 6, a medical health home AI robot is characterized by: The communication module inside the detector body (1) comprises a wireless communication chip and a wired communication interface for realizing wireless and wired communication. The communication module is connected to the CPU computer signal so as to exchange data with external equipment or a network.

9. The medical health home AI robot according to claim 6, characterized in that: The intelligent recognition module inside the detector body (1) comprises at least one biometric recognition sensor and an identity verification algorithm for identifying the identity and health status of a user. The intelligent recognition module is connected to a CPU computer signal so as to provide personalized user services.

10. The medical health home AI robot according to claim 6, characterized in that: The medical analysis module inside the detector body (1) includes a medical data processing algorithm and a diagnosis suggestion generator, which is used to analyze the user's medical data. The medical analysis module is connected to the CPU computer signal to provide diagnosis results and treatment suggestions. The medical analysis module includes the following key components: a. Data acquisition module: used to collect the user's physiological and health data from various built-in and external medical sensors; b. Feature extraction module: used to identify and extract key health indicators and patterns from the collected data; c. Machine Learning Module: used to train and deploy machine learning algorithms to identify disease patterns and predict health risks; d. Diagnostic logic module: contains a series of rules and logic based on medical knowledge to assist the diagnosis process; e. Recommendation generation module: Generates personalized treatment and health management recommendations based on analysis results.

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