5 results about "Medical screening" patented technology

The application provides an inpatient hospital infection case identification method and system based on an AI large model, comprising: constructing a screening standard knowledge base based on infection sites, clinical diagnosis, etiological diagnosis and supplementary notes; collecting desensitization diagnosis and treatment data of inpatients, splicing with prompt words to form input text; calling a large model interface to process the input text of the inpatients, and the large model performs reasoning according to the screening standard knowledge base; analyzing the structured data returned by the large model to obtain infection early warning information; wherein the infection early warning information comprises: whether to be infected, infection site, risk level, key evidence and reference standard. The application can provide an inpatient hospital infection case identification method capable of improving the accuracy and scientificity of hospital infection screening, analyzing complex medical screening logic and providing key evidence with clinical interpretability.

The disclosure provides an intelligent processing of medical screening conditions, and relates to the technical field of data processing, in particular to the technical field of medicine, databases, data queries and the like. The specific implementation scheme is: performing semantic intention analysis on a natural language description of a medical screening condition input by a user, and converting the natural language description into a structured intermediate representation, wherein the intermediate representation includes a plurality of structured condition units and their logical relationships, and one structured condition unit corresponds to one medical screening condition; based on a preset medical field knowledge ontology library, traversing each structured condition unit of the intermediate representation, and converting the intermediate representation into an executable database query statement based on the traversal result; executing the database query statement to obtain a data result; and generating explanatory evidence information connecting the natural language description and the data result according to the association information of the intermediate representation and the database query statement execution process.

1. Name of the product in this design: Laparoscope. 2. Intended use of this design: Laparoscope for medical examination. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application relates to the technical field of medical examination, and discloses a light reflection device for a projection system, which comprises a lower reflection sheet and an upper reflection sheet, limit grooves are arranged on the two sides of the lower reflection sheet and the upper reflection sheet, the limit grooves are matched with inclined seats, the inclined seats drive the whole reflection device to move synchronously in the movement process of the inclined device, the distance between the reflection device and an irradiation lamp is changed, the intensity of the diffuse reflection of the light projected on the surface of the reflection device after the irradiation lamp is adjusted, when the light intensity needs to be increased, the distance between the reflection device and the irradiation lamp is reduced by rotating an adjusting screw rod, at this moment, the intensity of the diffuse reflection is reduced and the light intensity is increased, when the light intensity needs to be reduced, the distance between the reflection device and the irradiation lamp is increased by rotating the adjusting screw rod, at this moment, the intensity of the diffuse reflection is increased and the light intensity is reduced, the device can automatically adjust the light intensity according to the use condition of a user, and the practicability of the device is improved.

The application provides a clustering method for incomplete multi-views in medical examinations, which comprises the following steps: firstly, acquiring incomplete multi-views in medical examinations, constructing an extended affinity matrix, then obtaining a structure matrix, a complete sample matrix and a reconstruction mapping matrix, and obtaining an inference loss function according to the three matrices; applying a constraint to the structure matrix to obtain a confidence block diagonal regularization term; obtaining a completed structure matrix according to the structure matrix, and obtaining a completion loss function according to the two matrices; obtaining a relationship loss function according to the completed structure matrix; obtaining a target loss function according to the inference loss function, the confidence block diagonal regularization term, the completion loss function and the relationship loss function, iteratively optimizing part of the matrix in the target loss function until convergence, and finally obtaining the final clustering labels of all incomplete multi-views in medical examinations by using a clustering algorithm to complete clustering. The application has superior structure recovery capability and more robust clustering performance on multi-views with a higher missing rate in medical examinations.