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In the past 20 years, the global incidence of DM has tripled.
Wherein the diabetic retinopathy (DR) is a diabetes mellitus (DM) is mainly micro- vascular complications, it may be working age prevention cause of blindness.
Patients with DM have a mydriatic retinal fundus examination once a year, and the American Diabetes Association recommends that patients with T2DM without retinopathy have a mydriatic examination every 2 years.
At this rate of development of DM, eye care staff who provide routine screening will be overwhelmed.
Screening When used in DR screening projects, the AI algorithm can detect referral DR with high sensitivity, and is cost-effective compared with the current gold standard-manual classification.
With the remarkable progress powerful deep learning algorithms, a number of companies have developed automatic DR screening systems, and access to the US Food and Drug Administration Bureau ( the FDA concern), and so far, there are already two of AI-based screening The search algorithm is approved for use.
Administration FDA To date, there have been two AI-based screening algorithm is approved for use.
Comparison of the relative performance of manual evaluation and artificial intelligence algorithms.
Comparison of the relative performance of manual evaluation and artificial intelligence algorithms.
The value of AI algorithms that meet the sensitivity threshold.
The value of AI algorithms that meet the sensitivity threshold.
Most algorithms do not perform better on data sets than humans, but two algorithms achieved higher sensitivity, and one algorithm produced similar sensitivity (80.
Different AI algorithms used for DR screening still have significant performance differences.
references:
diabetesjournals.
diabetesjournals.
org/content/44/5/1168" target="_blank" rel="noopener">Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems.
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