New research shows that an automated, artificial intelligence (AI) screening system accurately detects diabetic retinopathy 95.5 percent of the time. The system doesn’t require the input of an expert ophthalmologist and it can provide a reading in 60 seconds, making real-time screening possible for primary care practices and diabetes centers. Accurate, automated screening is an important development for millions of patients living with diabetes who need to be screened yearly for vision-threatening diabetic retinopathy. The researchers present their study today at AAO 2019, the 123rd Annual Meeting of the American Academy of Ophthalmology.
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Anupam Ghose, a physician by training, was diagnosed with Type 2 Diabetes Mellitus (T2DM) in 2017. After the diagnosis of T2DM, he followed a low carbohydrate high fat diet and reversed his T2DM within a year. Now he has one main goal in life and that is to make people understand that the conventional method of treating T2DM is not beneficial. Type 2 diabetes is reversible and the best way to reverse T2DM is through diet and lifestyle modifications. He now decided to help people with type 2 diabetes by offering online coaching to reverse their diabetes.
