The use of Artificial Intelligence and Deep Learning to Predict Diseases (Using Retinal Images)

Abstract

Recent developments in autonomous AI and machines learning have offered great potential in healthcare sector. It offers not only to improve the healthcare productivity, but also lowering the healthcare related costs, and improving the accessibility of quality healthcare options globally. Several researchers are focusing on developing algorithms to detect diseases using eyes, while others are focusing on facial features to detect different type of diseases. Even though most of the research studies related to AI and machine learning in healthcare sector are in trail phase, we already have seen some great systems developed already and available in the market. One of the biggest landmarks in this regard is FDA’s approval of a device that utilizes artificial intelligence to detect eye problems caused by diabetes on April 11, 2018. The approval was given by FDA to market a device called IDx-DR, which performs detection of mild level of eye disease diabetic retinopathy in adults with diabetes using artificial intelligence. This device uses AI algorithm to analyze digital retinal images taken with retinal camera and uploaded on cloud server by the doctor.