16 results about "Medical assistant" patented technology

The present invention provides a multilingual, AI-powered healthcare system integrating a personalized medical assistant, real-time clinical decision support, and closed-loop device control. The system ingests multimodal patient-generated and institutional data, applies advanced language-model-driven reasoning for clinical insights and triage, and supports regulated, auditable actuation of medical devices. Key features include multilingual overlays, role- and jurisdiction-specific visualization, co-signature enforcement, audit traceability, and seamless integration with healthcare infrastructure. A “Multilingual Overlay” is a dynamically generated display layer that the system composites in real-time from clinical text, icons, and color-coded indicators, automatically adapting its language, reading direction, terminology, visual density, and role-based data visibility to the preferences, locale, and device form-factor of each authenticated viewer. The architecture supports provider- and patient-facing use cases, agentic AI for autonomous yet regulated decision-making, and robust safety and compliance features.

The invention discloses a corneal refraction postoperative management and follow-up visit system based on Internet and AI assistance, and belongs to the technical field of medical health. The system comprises an ophthalmology service interaction platform, an intelligent medical assistant module, a clinical data management module, a follow-up visit management evaluation module and a medical care background management platform, and digital integration of corneal refraction postoperative management and follow-up visit whole processes is realized by constructing a multi-module collaborative architecture; the information barriers between patients and medical staff and between medical links in traditional medical services are broken through, the patients can conveniently obtain detection reports and participate in follow-up visit through the interaction platform, the medical staff efficiently integrate data and distribute tasks by means of the management platform, an AI technology is introduced to construct an intelligent medical assistant module, and the intelligent medical assistant module is provided for medical service. Patient problems are analyzed through a large model technology, personalized suggestions are generated, the vacancy of medical guidance in non-doctor-seeing periods is made up, a task list is automatically generated based on patient conditions, examination is carried out through a remote virtual consulting room, and convenience is brought to patients in different places or unable to move freely.

The present invention provides a multilingual, AI-powered healthcare system integrating a personalized medical assistant, real-time clinical decision support, and closed-loop device control. The system ingests multimodal patient-generated and institutional data, applies advanced language-model-driven reasoning for clinical insights and triage, and supports regulated, auditable actuation of medical devices. Key features include multilingual overlays, role- and jurisdiction-specific visualization, co-signature enforcement, audit traceability, and seamless integration with healthcare infrastructure. A “Multilingual Overlay” is a dynamically generated display layer that the system composites in real-time from clinical text, icons, and color-coded indicators, automatically adapting its language, reading direction, terminology, visual density, and role-based data visibility to the preferences, locale, and device form-factor of each authenticated viewer. The architecture supports provider- and patient-facing use cases, agentic AI for autonomous yet regulated decision-making, and robust safety and compliance features.

The application provides a kind of adaptive scanning visual angle planning method of medical auxiliary robot, mainly includes four steps: first, the three-dimensional grid model of patient is normalized to simulation environment, and the operating space of camera is limited;Second, according to three-dimensional grid model, target site identification and historical scanning information, construct composite state vector;Then, input the vector through strategy network, generate three-dimensional action vector representing the next optimal viewpoint coordinates;Finally, generate a series of viewpoints composed of multiple viewpoints, based on this sequence, use path planning algorithm to generate collision-free trajectory, and collect data at each viewpoint, finally obtain the three-dimensional point cloud of target site.The application has the beneficial effects: through conditional learning, a model with strong generalization ability for multiple parts is realized, and multiple targets such as scanning integrity, quality and safety can be automatically weighed, and finally a safe, efficient and high-precision automatic scanning scheme far beyond traditional methods is generated.

The invention relates to a method (500) for automatically generating a pre-consultation medical report, the method being implemented by computer and comprising: a step (510) of collecting data from a patient (P) via an adaptive electronic questionnaire (Q), proposing questions which are adapted as the answers are provided; a step (520) of structuring the collected data in graphs (G); a step (530) of pre-processing the collected data in order to eliminate errors and inconsistencies; a step (540) of predictive analysis of the pre-processed data by means of machine learning models (40), making it possible to extract from the graphs (G) information that is useful for a medical consultation; and a step (550) of automatically generating a specialised report (R), in medical language, intended for a healthcare practitioner (D).

1. The name of the design product: medical auxiliary system visual cart and its main body. 2. The use of the design product: the medical auxiliary system visual cart is used to place surgical equipment and display images during the surgical process, and the main body of the medical auxiliary system visual cart is used to place surgical equipment and display images during the surgical process. 3. The design points of the design product: the shape of the medical auxiliary system visual cart and its main body. 4. The picture or photo that best indicates the design points: Design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: The dashed line in Design 2 indicates the unclaimed part of the design.

The application discloses a kind of specimen transmission equipment, belong to medical auxiliary equipment technical field, including support base, adjusting equipment, transmission equipment, limiting equipment, connecting equipment and placing equipment, the device can be detected to the required detection room in the operation table side continuously circulating transmission to the side of specimen bottle and detect the operation of job, avoid the medical assistant carrying specimen bottle from operating room to detection room to and fro frequently walk, increase labor frequent and increase infection risk, specimen is dropped in the process of transportation by accident collision and is made, easy to cause damage, lead to unable to detect, still need to collect specimen to patient again, increase the pain of patient, also increase the workload of medical staff, and detection room is in sealed state, it is to not let smell emit and affect the environment of medical care and patient, and medical assistant to and fro frequently walk frequently open door, it is easy to cause the occurrence of above problem.

The use of PREVORA brand topical dental solution (100 mg / ml chlorhexidine) sold by CHX Technologies, Inc., Toronto, Canada, to treat and / or prevent the advance of both dental decay (caries) and periodontal disease in a simplified method of application in a non-clinical setting. A rapid and simplified treatment with PREVORA comprising the application of PREVORA with a cotton swab, for example, on the surface of the tooth extending down to the gum line was found to produce dramatic reduction in soft tissue inflammation. No cleaning, scaling, or other procedures were required to obtain this effect. Thus, no special equipment or skill is required to administer a PREVORA treatment. This enables a dental professional, medical assistant, nurse, pharmacist, for example, to treat the elderly or disabled where they live. Moreover, the typical chair time for such treatment is 10-15 minutes, or less, and the procedure is pain-free.

The present application relates to the technical field of medical auxiliary robots, and provides a medical auxiliary robot, which comprises a walking main body and a storage box, the top of the walking main body is provided with a supporting platform, the storage box is fixedly arranged on the supporting platform, the storage box is used for storing medicines or meals, and an operating arm is arranged on the inner wall of the storage box, the operating arm can take out or place the medicines or meals in the storage box, an atomization disinfection assembly is fixedly arranged on the top surface of the storage box, the top of the atomization disinfection assembly is provided with an atomization nozzle, and the atomization nozzle can spray atomized disinfection water in all directions; the medical auxiliary robot takes the walking main body as a common moving base, integrates the storage box (transport assembly) and the atomization disinfection assembly on the top supporting platform, replaces the independent walking mechanisms of two robots, reduces the number of devices, simplifies the structure and compresses the cost. The inner wall of the storage box is provided with the operating arm, material taking and placing are realized, the complete transport function is given, and the problem of single function of the traditional robot is solved.

The invention provides a semantic communication system based on a mesh DIKWP model. A data-information-knowledge-intelligence-intention five-layer cognitive semantic model is constructed. A peer-to-peer semantic space is dynamically established through a semantic mirroring mechanism, and a self-adaptive coding strategy is designed in combination with a consciousness relativistic theory. A built-in understanding generation engine realizes interactive iteration deepening understanding, and a semantic mediation module corrects deviation at an intention layer to ensure consensus. And multi-mode fusion transmission of voice, texts, images and the like is supported, and semantic consistency is ensured. Full-level semantic alignment is realized, misunderstanding and information redundancy are greatly reduced, and communication efficiency and reliability are improved. The method is suitable for high-precision semantic interaction scenes such as battlefield AI collaboration, intelligent medical assistants and educational training, and promotes development of a next-generation semantic communication technology.

The medical auxiliary robot comprises a workbench, a multi-axis mechanical arm is arranged on the workbench, a cleaning box is arranged on one side of the workbench, a storage plate is arranged on the side, adjacent to the cleaning box, of the workbench in a foldable mode, and an instrument clamp is arranged at the execution end of the multi-axis mechanical arm; the multi-axis mechanical arm is used for clamping instruments on the storage plate through the visual positioning system and transferring the instruments into the cleaning box for cleaning; by the adoption of the method, automatic cleaning is achieved, arrangement of specially-assigned persons is not needed, occupation of human resources is reduced, meanwhile, the situation that traditional manual cleaning is prone to being accidentally injured can be avoided, and it is ensured that medical instruments are normally used in the whole operation process; a traditional trolley is replaced, the number of times of transferring the surgical instruments when the surgical instruments need to be cleaned is reduced, the situation that the surgical instruments fall off in the transferring process is reduced, and the utilization rate of the surgical instruments in the whole process is increased; the silicon rubber case is arranged at the end of the instrument clamp, clamping stability is guaranteed, the instrument clamp can adapt to various medical instruments, the structure is simple, and cost is low.

An integrated micro-motion platform and a medical assistant robot comprising the integrated micro-motion platform. Due to a compact overall structural design, the outline dimension and mass of the micro-motion platform can be minimized. The integrated micro-motion platform comprises: a platform seat; a first planar motion mechanism, wherein the first planar motion mechanism is arranged on the platform seat and can be actuated to move within a first motion plane; a second planar motion mechanism, wherein the second planar motion mechanism is arranged on the platform seat and can be actuated to move within a second motion plane parallel to the first motion plane; and a guide rod assembly, wherein the guide rod assembly penetrates through the platform seat in a manner of penetrating through the first motion plane and the second motion plane that are parallel, and the guide rod assembly is centrally arranged. One end of the guide rod assembly is connected to the first planar motion mechanism by means of a first hinge mechanism, and the other end is connected to the second planar motion mechanism by means of a second hinge mechanism.

The invention relates to a method (500) for the automatic generation of a pre-consultation medical report, said method being implemented by computer and comprising: a step (510) of collecting data from a patient (P) via an evolving electronic questionnaire (Q), which offers questions adapted as the answers are provided; a step (520) of structuring the collected data into graphs (G); a step (530) of preprocessing the collected data to eliminate errors and inconsistencies; a step (540) of predictive analysis of the preprocessed data by means of machine learning models (40), making it possible to extract information useful for a medical consultation from the graphs (G); and a step (550) of automatically generating a specialized report (R), in medical terminology, for a healthcare practitioner (D). Figure 1 for the abstract

The invention provides a smart hospital medical care talkback method and system. According to the method, the nursing affair type and the concentration degree of the nurse can be identified according to the current audio and video data of the position of each nurse and the audio and video data in the previous preset duration, and the interruptible index of the nurse is determined according to the nursing affair type, the concentration degree and the expected remaining nursing duration of each nurse. And according to the expected remaining nursing duration, the journey duration and the interruptible index of each nurse, determining the striving waiting duration for each nurse to arrive at the position of the bedside extension set of one of the patients at the earliest. And forwarding the call request to the nurse medical assistant terminal of the nurse with the shortest waiting time, so that one of the patient bedside extensions carries out talkback interaction with the nurse medical assistant terminal of the nurse with the shortest waiting time, and the time of arriving at a ward where the patient who initiates the call is located can be shortest. And the negative influence of the illness state of the patient who initiates the call due to the time delay is minimized.

1. The name of the design product: smart assistant area of large model personalized medical assistant graphical user interface for electronic devices. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: overall use: interface for large model medical assistant personalization setting; partial use: smart assistant area of large model medical assistant. 7. The human-computer interaction mode of the graphical user interface: design 1 front view is the creation assistant interface, clicking the "create assistant" button on this interface enters the smart assistant setting interface, as shown in design 1 change state diagram 1, sliding the circle on the right side of the "patient data association" right side slider at the bottom of the right side input box of this interface to the right enters design 1 change state diagram 2, clicking the "prompt word template" button at the bottom of the prompt word box on the right side of this interface enters design 1 change state diagram 3, templates can be selected and inserted in this interface; design 2 front view is the creation assistant interface, clicking the "create assistant" button on this interface enters the smart assistant setting interface, as shown in design 2 change state diagram 1, sliding the circle on the right side of the "patient data association" right side slider at the bottom of the right side input box of this interface to the right enters design 2 change state diagram 2, clicking the "intelligent generation" button at the bottom of the prompt word box of this interface enters design 2 change state diagram 3, clicking the "generate prompt word" button on the right side of this interface enters design 2 change state diagram 4. 8. Other circumstances that need to be explained: other views are omitted. The "X" in each view represents replaceable or changeable text, numbers or punctuation marks; the part covered by the opaque gray block in each view belongs to the replaceable or changeable content screen, which does not belong to the content of the appearance design itself.