Ophthalmic disease visual video generation method and device, terminal equipment and storage medium
Through language models and eye disease visual symptoms knowledge graphs, the patient's visual description text is generated and visual videos are output, which solves the problem of low information transmission efficiency in ophthalmic disease diagnosis and improves doctors' understanding of visual symptoms and diagnostic efficiency.
CN120411278AActive Publication Date: 2025-08-01ZHONGSHAN OPHTHALMIC CENT SUN YAT SEN UNIV
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Patent Information
- Application Number
- CN202510441856.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-09
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2045-04-09
AI Technical Summary
Technical Problem
In the prior art, the diagnosis of ophthalmic diseases depends on the patient's language description, resulting in low efficiency in information transmission and limited doctors' understanding and judgment of visual symptoms.
Method used
By obtaining the patient's visual description text, using a language model combined with the knowledge graph of eye disease visual symptoms for semantic analysis, a visual description text recording the patient's dynamic visual scenes is generated, and subjective visual videos are output through the Wensheng video model.
Benefits of technology
It improves doctors' understanding and diagnosis of patients' visual symptoms, and enhances the accuracy and efficiency of information transmission.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a visual video generation method and device for ophthalmic diseases, terminal equipment and a storage medium, and the method comprises the steps: inputting an initial visual description text for describing the vision of a patient into a preset large language model, so as to enable the large language model to be combined with a preset visual symptom knowledge graph of the ophthalmic diseases, performing semantic analysis on the initial visual description text, optimizing the initial visual description text according to a semantic analysis result, and generating a visual description text recording a dynamic visual scene of the patient; and inputting the visual description text into a preset text video model, so that the text video model outputs a subjective visual video meeting the view of the patient according to the visual description text. Therefore, the method and the device can output the subjective visual video meeting the view of the patient, thereby effectively helping a doctor to know the visual symptom of the patient, and improving the diagnosis efficiency of the doctor.
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