Dr. EyeBot
Among our five senses, eyesight ranks as the one people fear losing the most. Unfortunately, 300 million people around the world suffer from some form of visual impairment. 80% of these cases, however, could be prevented or cured with access to the right medical care. The reality is the lack of resources and shortage of doctors in the developing world cause so many of these cases to go undetected and untreated. The artificial intelligence community recognizes the opportunity for data-driven solutions to this problem. With the development of Dr. EyeBot, we build off the existing work of computer scientists, entrepreneurs, and medical professions with the goal of supporting this public health cause with our time and resources
Course
Data Science 210. Capstone , Spring 2019More Information
We aim to leverage emerging technology within artificial intelligence to combat inadequate access to ophthalmologists in many areas of the developing world. We initially target rural regions both domestic and foreign as our test markets due to the disproportionate impact of degenerative eye diseases like Diabetic Retinopathy in these isolated and underserved communities. We believe the abundance of smartphones creates the potential for a viable digital healthcare solution to remotely detect degenerative but preventable eye conditions. Opposed to conventional, inefficient methods for eye examination, cloud computing provides the scalability required to meaningfully impact the prevalence of visual impairment fostered by geographic isolation and socioeconomic status.