The traditional ophthalmoscope, as we know it, is an ophthalmic examination tool that uses the principles of lenses and light reflection to magnify the image at the back of the eye so that the doctor can see the fundus more clearly. Traditional ophthalmoscopes have a long history in the field of ophthalmology and are one of the important tools for doctors to perform fundus examinations. By using traditional ophthalmoscopes, doctors can find many different types of fundus lesions such as diabetes, hemangiomas, retinal detachment, macular degeneration, etc. This tool not only helps doctors make accurate diagnoses, but also provides patients with timely solutions. Despite the continuous development of modern medical technology, traditional ophthalmoscopes remain an indispensable tool in many cases, providing important support for many ophthalmic diseases.
Compared with traditional ophthalmology and ophthalmology, AI intelligent all-in-one machine has natural advantagesThis makes ophthalmology a thing of the past
AI intelligent all-in-one machine, adding the concept of AI, is more intelligent, in simple termsEmbed AI model, one-click photo, fully automated,Rapid and accurate screening of fundus lesions through the detection of the Central Institute for Inspection and Quarantine, andAutomatically generate AI screening reports, support 8 fundus lesion identification, with an accuracy rate of up to 945%，Equivalent to the level of many years of senior ophthalmic clinicians. Doctors and patients can use this report to refer to the relevant department
So in addition to ophthalmology,It is more widely used in physical examination department, endocrinology department, etc。AI ophthalmoscope, so that those who can be identified through fundus lesions risk diseases, can get the key prevention and treatment, truly out of the ophthalmology, benefit other departments, facilitate the early participation of doctors in other departments in the diagnosis, but also allow those patients who are suffering or have hidden dangers to get a fast and effective **.
Image source network. In view of the fact that there are only about 50,000 professional ophthalmic doctors in China, and only a handful of people can read and watch movies, and the National Health Commission has formulated the "14th Five-Year Plan" National Eye Health Plan (2021-2025), which clearly states that the eye health management system, technical guidance system and medical service system will continue to be improved, and the value and application of AI fundus intelligent all-in-one machine can be said to be a product that came into being in response to national policies.
In this way,The introduction of AI fundus intelligent all-in-one machine can make up for the lack of professional ophthalmologists and save resources for hospitalsSaving patients the cost of traveling between various departments is an important measure to think about what the hospital thinks and what the hearts of doctors and patients care about.
In addition, due to the further development of urbanization, the construction of medical personnel in secondary hospitals is in a grim situation, not to mention professional ophthalmology talentsThe production of AI fundus intelligent all-in-one machine can also alleviate the problem of insufficient hospital resources and empower multiple medical application scenarios
Image source network.
This is because with the continuous development of science and technology, the concept of AI medical care is gradually being accepted and widely used by more and more medical institutions. This concept is not only a new technical means, but also a deep innovation of the medical industry. With the help of AI, the healthcare industry can achieve more efficient, accurate, and personalized medical services. It can help doctors analyze patients' medical data and quickly identify disease patterns and abnormalities to diagnose diseases more accurately.
AI can analyze patients' health data and detect potential health risks for early detection of diseases. Doctors can also use AI technology to provide real-time monitoring of patients, timely follow-up of patients' health conditions, and medical intervention when necessary.
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