The Next Challenge for AI: Fighting Blindness - RTInsights
Researchers are using AI and other deep learning methods to create an algorithm that's capable of detecting DR with an accuracy rate of 94 percent When we talk about artificial intelligence here at RTInsights, we typically cover topics like recommendation engines, such as selling houses on Trulia, or implementing some kind of predictive analysis to make CRM or marketing more effective. But artificial intelligence can be used for actually improving the lives of ordinary people--according to a new study conducted by researchers from the Byers Eye Institute at Stanford University, AI could soon be used to fight vision loss due to a complication that stems from diabetes. Diabetic retinopathy (DR) affects the blood vessels at the back of the eye while a patient has diabetes, and it's known to cause preventable blindness. The researchers are using AI and other deep learning methods to create an algorithm that's capable of detecting DR with an accuracy rate of 94 percent. That number applies to all the disease stages--mild to severe--so it's not only beneficial to those who are dealing with severe vision issues due to DR.
May-5-2017, 07:30:40 GMT
- Genre:
- Research Report > New Finding (0.36)
- Industry:
- Health & Medicine > Therapeutic Area
- Ophthalmology/Optometry (1.00)
- Endocrinology > Diabetes (1.00)
- Health & Medicine > Therapeutic Area
- Technology: