Feb 2, 2017: Recently, a new and effective process to diagnose cataract have been found. The technology uses artificial intelligence (AI) system designed to imitate the way the brain handles vision, and LED which measures cataract at a molecular level, says a new study. This new medical technology can diagnose cataracts the way a doctor would do, says the study.
Designed to focus on identifying congenital cataracts, which cloud the lens of an eye from birth, and lead to vision loss. The new artificial intelligence system is capable of diagnosing congenital cataracts.
Scientists in China used an artificial neural network called CC-Cruiser. This network was created based on the way neurons are arranged in the brain that handles vision.
The scientists wanted to find out how artificial intelligence could help address the disease, which affect 10% of the world’s population. The scientists developed the research by first training the CC-Cruiser using 476 photos of children with normal eyes, and 410 images of children afflicted with congenital cataract in China. The neural network then scanned images of eyes to diagnose congenital cataracts.
The study shows that the neural network identified potential cases of congenital cataracts with 98.25% accuracy. It also estimated the location of the cataracts with 100% accuracy, the researchers said.
Clinical trials are still required before the artificial intelligence can be put into regular clinical practice, the scientists wrote in the journal Nature Biomedical Engineering.
Scientists at Heriot-Watt University used LED technology to track the development of cataracts at a molecular level. This helps to find out is patients need to have surgery.
“This research brings us one step closer to developing a non-invasive treatment for cataracts,” Prof Des Smith, one of the co-founders of the research, said, about artificial intelligence and LED technology.