Knowledge data and artificial intelligence driven ophthalmology multi-disease identification system

Abstract

The invention provides a target classification system. The target classification system can specifically be a knowledge data and artificial intelligence driven multi-disease identification system. The system can be used for: acquiring medical images and non-image medical information; using a medical expert knowledge base for matching information data, and obtaining an ophthalmic disease weight result through a medical knowledge reasoning algorithm; obtaining an ophthalmic disease weight result by using an organ tissue segmentation algorithm and a disease focus recognition algorithm in medical image diagnosis; obtaining weight results by combining knowledge reasoning and medical image recognition, and obtaining a final disease diagnosis result through weighted calculation. According to a medical clinical diagnosis thought, structured processing is carried out on medical data through big data, and automatic diagnosis of diseases is realized through the detection capability of an artificial intelligence model on disease focuses. The system improves the existing doctor seeing mode, realizes artificial intelligence preliminary diagnosis and screening of diseases, effectively relieves the current situation of shortage of medical resources, and has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of ophthalmology digitization and artificial intelligence, in particular to an ophthalmology multi-disease recognition system driven by knowledge data and artificial intelligence. Background technique [0002] At the end of 2019, the sudden outbreak of COVID-19 posed a serious threat to people's life safety and health. This global outbreak has prompted artificial intelligence to be widely used in various scenarios, such as auxiliary inspection and pathological diagnosis, knowledge dissemination of epidemic prevention and control, tracking of the flow of people affected by the epidemic, prediction of the development trend of the epidemic, and traceability. In such an environment, building a health ecosystem based on big data and providing high-quality, efficient, and economical new intelligent medical services will become an effective means to solve the contradiction between medical supply and demand in my co...

AI Technical Summary

Problems solved by technology

However, at present, the application of artificial intelligence technology in the medical field still needs to rely on medical personnel and medical equipment. The labor force of medical workers has not been greatly liberated, and patients cannot perform disease screening independently.

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