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Artificial Intelligence Tool for Diagnosing Eye Disorders
Researchers from Florida Atlantic University, in cooperation with
partners from other universities and institutions, have developed an innovative
prototype of an artificial intelligence tool to diagnose eye disorders using a
smartphone based on deep learning. This model directly uses health data to help
diagnose nystagmus, a condition during which involuntary eye movements occur
and are often associated with neurological disorders or vestibular disorders
that occur in the system responsible for eye movements and balance.The system's
algorithm has been trained on more than 15,000 videos to monitor eye movement
for diverse categories of patients as the system uses intelligent filtering
algorithms in order to avoid capturing natural movements such as blinking to
ensure accurate results.
The new eye examination tool offers a low-cost alternative for the
patient, a quick and reliable examination to detect balance disorders and
abnormal eye movements, as well as reducing the need to visit doctors and
reducing the cost of treatment, unlike the traditional diagnostic tools that
are usually used to monitor nystagmus, such as electronic planning and video nystagmus
imaging, as well as the high costs that sometimes exceed $100,000, the large equipment
that needs it and the inconvenience that it may cause to patients during
examinations.
The new tool relies on a deep learning system that tracks specific
points in the face instantaneously and with high accuracy to analyze eye
movement and assesses the speed of the slow phase, which is an important
measure to determine the severity, duration, severity and direction of
nystagmus. The system also provides easy-to-interpret graphs and reports that
doctors and specialists can review when conducting remote consultations. The
results of a preliminary study to evaluate the new tool, which included 20
participants, were published in the journal Cureus, and the results of the
evaluations provided by the artificial intelligence tool were largely
compatible with those provided by traditional medical devices. This is an
initial success for this tool.
Researchers are currently
working to improve the model's accuracy, expand its testing, and obtain FDA
approval for widespread use in the medical field.
How the new AI-powered tool for examining eye disorders works
The tool records the patient's
eye movements using a smartphone, and then uploads the video to a cloud system
in order to obtain a remote diagnostic guide from doctors who specialize in
diagnosing and treating neurological disorders and balance disorders without
the need for patients to leave their homes.
Thanks to the rapid development of artificial intelligence technologies,
eye disorders can now be diagnosed in more accurate and effective ways, this
new tool represents a major step towards improving health care and offering
innovative solutions to users. We expect this technology to see significant
developments in the near future.
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