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

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Dr. Gohar Azeem
Erick Jones


Recent developments in autonomous AI and
machines learning has offered great
potential in the 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 types of diseases. Even
though most of the research studies related
to AI and machine learning in healthcare
sector are in the trial phase, we already have
seen some great systems developed already
and available in the market. One of the
The biggest landmark in this regard are FDA’s
approval of a device that utilizes artificial
intelligence to detect eye problems caused
by diabetes on April 11, 2018 [1]. The
approval was given by FDA to market a
a device called IDx-DR, which performs
detection of a mild level of eye disease
diabetic retinopathy in adults with diabetes
using artificial intelligence [1]. This device
uses AI algorithm to analyze digital retinal
images were taken with a retinal camera and
uploaded on a cloud server by the doctor.
Based on the uploaded image, the software
will give results that whether the sickness is
detected or not and what further protocols
need to be followed.

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